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Curated Monthly News about Artificial Intelligence and Machine Learning
African Artificial Intelligence Expo to launch in Cape Town, South Africa

African Artificial Intelligence Expo to launch in Cape Town, South Africa

The Fourth Industrial Revolution is in full swing and with emerging technology breakthroughs in AI now going mainstream, understanding the business opportunity from both a supplier and client perspective has never been more paramount. AI ExpoAfrica 2018 is focusing on real world applications & trends driving the Artificial Intelligence (AI) Economy in Africa and seeking to build an AI Business focused community across the continent.

Roy Bannister, veteran media & publishing consultant and Expo Chairman, commented, “This event is aimed at the C-Suite and Enterprise decision makers who are grappling to understand how AI applications can add value or impact their business today. Allied to the inclusion of AI Cloud platform providers, Tier 1 & 2 deployment & service providers, AI start-ups, investors, educators, government and AI ecosystem community builders, this event will give those attending a real feel for what’s available now or in the near future. With six themes and three tracks the event is focused on real Enterprise AI case studies and the application of AI in Business, AI deployment challenges, ethics and skills plus the business innovation driving current deployment trends across all industry sectors.”

Brett StClair, CEO Siatik, Google’s Leading Cloud partner in Africa said, “We specialise in Cloud, AI, ML, IoT and Big data, so this event gives us a great opportunity to explain the current and future AI business opportunity Enterprise Execs.  AI is going to be one of the biggest positive impacts on business over the next decade and AI Expo will be a great learning opportunity, we look forward to being part of this pioneering business focused community”.
John Kamara, Director of Digital Growth & Development Africa stated, ”AI is the next level of our evolution and as the world becomes more advanced we find AI becoming a core part of everyday life. It is no longer a thing of the future it is happening now. AI Expo Africa will offer a forum for businesses to seek out current real-world AI solutions for current and future business challenges.”

Simon Carpenter, Chief Technology Advisor SAP Africa said, “Having an Expo solely focused on AI in Business is a great idea.  SAP’s strategy for the Intelligent Enterprise incorporates a growing portfolio of AI solutions covering Brand Intelligence, Service Ticketing and CoPilot.  SAP understands the AI and Cognitive Enterprise space and helping C Suite leaders in Africa understand this opportunity is something we look forward to doing at the show.”

Jannie Strydom CEO LARCAI, a South African based AI start up company, stated “We are looking forward to attending and speaking at AI Expo Africa, a conference focused on the AI business opportunity that exists now for both Enterprise and start-ups alike. Being part of the Expo Innovation Cafe, showcasing African AI start-ups and SMEs will really help strengthen the AI ecosystem in the region.”

Alexandra Fraser, Board Member at Silicon Cape, a nonprofit company committed to building and catalysing the technology ecosystem in the Western Cape, South Africa said, “This is the first event of its kind, bringing together international and local corporates and start-ups involved with AI under one roof. One of the biggest challenges for any start-up is to access customers and key decision makers. This event with it’s range of activities and key notes will allow AI innovators to show case their products, demonstrate use cases and secure new business opportunities.”

Nick Bradshaw, Event Director stated, “We have created this event so that start-ups and the big ICT / Cloud / AI players can all be in the same room, something that is often overlooked by event organisers who exclude SMEs, so this event is uniquely inclusive in that regard. We also have dedicated tracks for innovation, vendors and case studies so delegates will see ‘real world’ AI business applications they can adopt now.”

Education and awareness form a key pillar of this event, allied to the AI skills gap this rapidly expanding technology frontier is creating in Africa. Ryan Falkenberg, Cofounder & CEO at CLEVVA, a growing SME working with Virtual Adviser Apps stated, “We are delighted to be part of an event that moves beyond the AI hype, and seeks to answer the question most business execs are currently asking – How do we make AI practical in our business and able to deliver meaningful and measurable benefits within the next 6-12 months?”

Keet Van Zyl, High-growth Venture Investor and Partner at Knife Capital said, “Its great to be part of an event that is aiming to bring both big business and innovative start ups together under one roof.  Inclusivity of this kind will help delegates gain a range of real world perspectives about the impact AI related technologies will have in the Enterprise be you B2B or B2C.  We are proud to be speaking at this event and being part of this new business focused AI community in Africa”

Zachariah George, Partner & Chief Investment Officer of Startupbootcamp Africa, the leading multi-corporate backed venture accelerator in Africa focused on high-growth startups in tech-enabled industries including block-chain and AI, stated, “We are excited to be joining this event and will be exploring how big business can de-risk investment in AI and foster innovation that helps B2B enterprises. It is clear that this event is about real, tangible AI business opportunities and how clients can leverage these new technologies today”.

Bannister concluded, “We are also proud to be working with AI Expo’s chosen charity and upliftment partner Starting Chance http://www.startingchance.org.za who are creating grass roots educational environments in the Western Cape”. Dr Ian Corbett Chairman of Starting Chance stated, “Starting Chance empowers female entrepreneurs, uplifts early childhood centres and improves access to high-quality early learning programmes to give the children of Mfuleni a firm foundation from which to grow, develop and not only grasp their future, but be embraced by it.”

About AI Expo Africa

Taking place on 9-11 September 2018, Century City Conference Centre, Cape Town, South Africa, AI Expo Africa 2018 is focusing on real world applications & trends driving the Artificial Intelligence (AI) Economy in Africa and seeking to build an AI Business focused Community across the continent. With 400+ delegates, 27x speakers, 5x keynotes, 28x AI exhibitors plus Innovation Cafe housing 20x AI Start-Ups, the event is aimed at CxO / C Suite delegates with the primary goal of educating business leaders about AI applications and opportunities impacting the Enterprise today as well as generating real business opportunities for sponsors, speakers & AI innovators across the region. If you would like to join the event as a delegate or would like take up one of the exhibition, Innovation cafe or speaking opportunities, please visit our website to learn how you can be part of the growing AI community in Africa visit www.aiexpoafrica.com

All trademarks & company names mentioned are protected by their respective owner

Press & Media
Email: enquiries@aiexpoafrica.com
Phone: +27 7957 33206
Twitter: https://twitter.com/aiexpoafrica
Facebook: https://www.facebook.com/AIExpoAfrica/
LinkedIn: https://www.linkedin.com/groups/13572883

Hurry Up!!! Limited slots available at just 200 USD: Artificial Intelligence 2018, Las Vegas,USA

Hurry Up!!! Limited slots available at just 200 USD: Artificial Intelligence 2018, Las Vegas,USA

We are pleased to invite you to attend 5th International Conference on Artificial Intelligence on April 16-17, 2018 at Las Vegas, USA.
The theme of the conference is “Surging into the future of Artificial Intelligence”.
The conference will be covering following topics:


·         Machine Learning

·         Quest for Artificial Intelligence

·         Artificial Intelligence and Robotics

·         Ambient Intelligence & Knowledge Representation

·         Big Data Applications

·         Data Mining

·         Artificial Intelligence Applications in Cybersecurity, Science, Engineering, Healthcare and Medicine

·         Multiagent Systems

·         Role of artificial intelligence in intelligent systems, virtual reality systems and autonomous vehicles

·         Ontologies and Knowledge-Based Systems

·         Mathematical Preliminaries and Notation

·         Prototypical Applications

·         Philosophy and ethics

·         Natural language processing

·         Affective computing

·         Computational creativity

·         Regression Analysis

·         Cloud Computing

·         Artificial Neural Networks


You can attend as a delegate or present a poster at this event for just 200 USD
Also, you can opt for group registration (valid for 3 or more than 3 people) to avail 10% discount.
 
For more details regarding the event, refer: https://artificialintelligence.conferenceseries.com/

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Blue Prism More than Doubles Revenue in FY2017 and Secures £70M 

Blue Prism More than Doubles Revenue in FY2017 and Secures £70M 

Blue Prism More than Doubles Revenue in FY2017 and Secures £70M 

via Placing in Public Markets

Award-Winning RPA Company Accelerates Sales and Marketing Efforts

for its Industry-Leading Digital Workforce

LONDON and AUSTIN, Texas — Jan. 30, 2018 — Following the successful close of its second fiscal year [ending Oct. 31, 2017] since debuting on the AIM market of the London Stock Exchange in 2016, Blue Prism (AIM: PRSM), announced on January 25 a placing of £70M (approx. US $100M) of shares, of which £40M (approx. US $60M) resulted from an issue of new shares to new and existing institutional investors.

The funds raised through the issuance of new shares will be used to accelerate the company’s sales and marketing activities across the globe. The new investment will also contribute to driving further innovation in Robotic Process Automation (RPA) and the expanded distribution of the company’s market-leading Digital Workforce Operating System.

While the US market remains a key focus for Blue Prism, the company continues to see a strong emerging global opportunity for its software evidenced by over 300 net new customers across the globe in 2017. Meeting the demand for its RPA software and expanding Intelligent Automation capabilities through product updates and the TAP (Technology Alliance Program), Blue Prism will use the funds to drive new product development, expand its channel partner base, drive global growth and strengthen additional technology and distribution alliances. With the industry’s first and only certified RPA reference architectures for Microsoft Azure and Amazon Web Services, customers are seeing the benefits of TAP MAGIC, the Blue Prism alliances with Microsoft, Amazon, Google, IBM in the cloud and with successful in-cloud deployments.

“As often acknowledged by our competitors, Blue Prism created the RPA software market and has been the consistent thought leader in the category. We are delighted with the support of our long-term institutional shareholders whilst welcoming many new names to the register. With the foundation of a strong balance sheet and no debt, Blue Prism has raised £70M with only a 5 percent dilution to existing shareholders, in less than three weeks,” said Alastair Bathgate, Blue Prism Group CEO. “With this investment, and strong support from customers, partners, investors and employees, we are well positioned to accelerate our growth across the globe.”

Company Closes FY2017 with Surge in Revenue, Customers and Industry Accolades

Blue Prism closed FY2017 with revenue up 155 percent to £24.5m, driven by new and existing customers in emerging geographies. The company closed 609 new software deals which included 324 new enterprise customers across the United States, Europe, Asia Pacific, Latin America, Australia and New Zealand— a 238 percent increase over FY2016. Blue Prism’s customer base in the United States grew to 135 versus 2H FY2016, with 109 new customers versus 18 FY2016, 63 upsells versus 19 FY2016 and three US renewals versus FY2016.

“Blue Prism’s market momentum comes as no surprise to KPMG. It reflects the power of our collaboration and ability to help clients integrate a digital workforce that effectively provides governance, intelligence, security and compliance,” said Todd Lohr, Principal, Advisory, KPMG LLP. “As more clients ramp up automation deployments, we are moving in lockstep with Blue Prism to provide leading capabilities and services to deliver the digital workforce of the future.”

Over the past year, the company also added several established brands to its roster of clients including AIG, Alberta Treasury Bureau, Allstate Insurance, Bechtel, Boeing, DeNA, DTE Energy, Dun & Bradstreet, Ericsson, Fannie Mae, GIC, Honda Motor Company, Kaiser Permanente, KBL Bank, Maybank, National Grid, Schroders, Sony Pictures, United Utilities and Walgreens.

Blue Prism finished 2017 with all renewals achieved for the fiscal year and attained the highest customer satisfaction rating of 96 percent in an independent customer survey by Knowledge Capital Partners (to download report click here). The survey of global Blue Prism customers highlighted satisfaction for platform adaptability, scalability, security and employee satisfaction.

“With its transparency as a public company, Blue Prism has become the bellwether for the RPA industry. Its latest results show strong growth and the largest publicly announced fund raising, in one go, that we have seen in the RPA market to date,” said Sarah Burnett, Vice President at Everest Group, one of the world’s largest and leading global services and RPA analyst firms. “As the market for RPA continues to skyrocket, Blue Prism is poised to benefit with a strategy for growth that builds on its capabilities, sales and technology partnerships, and geographic presence.”

In 2017, Blue Prism was named one of MIT Tech Review’s 50 Smartest Companies and recognized as the winner of the 2017 UK Tech awards. The company also unveiled Version 6 of its RPA platform, which accelerates access to cutting-edge Artificial Intelligence (AI), machine learning and cloud capabilities.

About Blue Prism

As the pioneer, innovator and market leader in Robotic Process Automation (RPA), Blue Prism delivers the world’s most successful Digital Workforce. The company’s software robots automate repetitive administrative tasks while meeting the requirements of the most demanding IT environments, where security, compliance and scalability are paramount.

Blue Prism provides a scalable and robust execution platform for best-of-breed AI and cognitive technologies and has emerged as the trusted and secure RPA platform of choice for the Fortune 500. Billions of transactions and hundreds of millions of hours of work are executed on Blue Prism robots from renowned companies including Aegon, BNY Mellon, Commerzbank, IBM, ING, Maersk, Nokia, Nordea, Procter & Gamble, Raiffeisen Bank, Siemens, Westpac and Zurich. For more information about Blue Prism (AIM: PRSM), visit www.blueprism.com and follow the company on LinkedIn and Twitter.

Saillog is a Winning Solution in the 2018 India Israel Global Innovation Challenge

Saillog is a Winning Solution in the 2018 India Israel Global Innovation Challenge
Recognition of Agriculture Technology Startup

New Delhi, India: During the week of January 15, 2018, Saillog, an agriculture technology startup leveraging artificial intelligence algorithms to manage plant diseases and pests, received international recognition in the 2018 India Israel Global Innovation Challenge. The summit was broadcasted live throughout India and social media outlets. In attendance were Prime Minister Modi and Prime Minister Netanyahu. Saillog took home a Certificate of Achievement, which was signed as a winning solution by Ramesh Abhishek, the Secretary of the Department of Industrial Policy and Promotion, Ministry of Commerce and Industry Government of India.

Of the company’s recent acknowledgment, Saillog CEO Nessi Benishti, PhD said, “It is a great honor to be recognized by the Indian and Israeli governments. We at Saillog seek to continue being a part of ending global food insecurity and hope this achievement brings us closer to farmers worldwide.”

Saillog develops numerous products providing technology solutions for disease and pest management. In 2017, Saillog launched Agrio, a smartphone app that is available in nine languages and has generated a global presence among small-scale farmers, large-scale farmers, and home gardeners.

About Saillog Ltd.: Saillog was created by Dr. Nessi Benishti, a theoretical physicist from Oxford University who cofounded Augmedics in 2014 and is now utilizing his expertise in computer vision and artificial intelligence to provide solutions to the agriculture sector.

BIG DATA Paris 2018

Big Data Paris 2018 will take place this upcoming March the 12th and 13th for its seventh edition at the Palais des Congrès of Paris.

Now more than ever, our world needs Data Heroes to guide us through ever-changing circumstances. With the rise of Deep Learning, AI, IoT, and Digital Transformation, all organizations in every industry are going through a disruptive change. Big Data Paris offers you the knowledge, skills and tools that you need to master the data universe and achieve greater success now and beyond.

The strategic conferences of Big Data Paris

Join more than 15 000 attendees and 250 premium brands around networking sessions, workshops and conferences. Book your access now!

WHY YOU SHOULD ATTEND

Through its very comprehensive event program, Big Data Paris will be the place to be in November for every professional involved in artificial intelligence:

  • Networking opportunities: gain inspiration and network with more than 15,000 top European strategists and influencers
  • 250+ sponsors & exhibitors
  • 200+ Workshops: Solutions & product demonstrations by the most innovative Companies in Europe
  • 100+ Speakers: learn from the best and the brightest in Big Data, including visionaries, leading experts, industry innovators and disruptive start-up leaders
  • Business meetings: Maximize your presence and forecast who will meet with in the run-up to the event
  • Our Start-up area

Learn more about Big Data Paris opportunities: https://www.bigdataparis.com/?payment_promo_code=BDP18-EVENTS-AI&utm_source=events-ai&utm_medium=partner&utm_campaign=bdp18

Discover companies exhibiting on Big Data Paris: https://www.bigdataparis.com/exposants.html?payment_promo_code=BDP18-EVENTS-AI&utm_source=events-ai&utm_medium=partner&utm_campaign=bdp18

OUR CONFERENCES PROGRAM

Big Data is gaining more grounds and will open more and more applications to your company in the next future. Big Data Paris is leading a full conference program with more than 100 experts speaking at the tribune.

Discover our conference program: https://www.bigdataparis.com/conferences-12-mars.html?payment_promo_code=BDP18-EVENTS-AI&utm_source=events-ai&utm_medium=partner&utm_campaign=bdp18

 

 


Link to Full Article: Read Here

My impressions on AI and Machine Learning

My interpretation of the difference between AI and Machine Learning demands a couple of analogies. AI is to Machine Learning as Wicca is to Druidism, or Light Beer to Irish Whiskey.

I have fallen in love with the idea of Transhumanism, and that led me to do my own personal, non-professional research into the link between Neurology and AI, which I began entirely by accident while roaming a college library out of boredom, looking for interesting topics that might peak my ravenous curiosity.

It’s amazing what you can find when you really have no idea what you are looking for!

When studying matters of this nature, I use a great amount of imagination and abstract thought. My perception shifts gear into Modular Design and Interpretive Dance. When doing this, I’ve come to realize that I have many other limbs that exist as abstractions, and I can move and operate them all like my own hands.

Counter-intuitive, I know, but that’s what ended up happening as I spent my time alone in my apartment coming to terms with inventive and innovative understanding regarding this subject.

When I started taking agency and ownership over my crazy ideas, and I stopped letting myself get discouraged by the negative opinions around me, all of the sudden things started to fall into place all around me. The broken parts of my mind started to purr like a well-oiled engine in high functionality.

Suffice to say, I enjoy a perception of a fusion of Applied Arts and Applied Sciences in a way that makes Nikola Tesla look like a well balanced and stable citizen.

As I said; Ravenous Curiosity.


Link to Full Article: Read Here

Neurons.AI – 2018 Meetup Chapters and Online Forums

Neurons.AI – 2018 Meetup Chapters and Online Forums

Hello Everyone,

Readers of homeAI.info may not be familiar with one of our partner websites Neurons.AI.

Neurons is a professional network for AI practitioners, providing both an online platform for collaboration including user blogs and forums as well as a vast network of local meetup groups or chapters.

Details on the meetup groups can be found at http://Chapters.Neurons.AI 

Membership of Neurons.AI is 100% completely free, and I would welcome you all to join this platform and get involved.

 

The AI Coach

The AI Coach

The integration of Artificial Intelligence into companies will create complete new job profiles. One of them is the “AI Compliance Officer”, but also the “AI Coach”.

After AIs already won in Chess and other board games against their human opponents, in 2015 Google let their DeepMind-AI learn different classic Atari games, such as “Ms. Pac Man”“Space Invaders”“Video Pinball”, “Q-Bert” and “Montezuma’s Revenge”. The AI started with trial-and-error. The software learned based on “classic conditioning”, as it received a positive amplifier. This similar to “Pavlov’s Dog. In the beginning the AI made only slow progress, but then advanced and at the end could beat the human high scores in Space Invaders and Video Pinball. With the more complex Ms. Pac Man and Montezuma’s Revenge the program still struggled.

Around two years later Microsoft changed the setup to “cognitive learning”. The AI observed human players and learnt from its mentors. In total the human players created 45 hours of game-play, which was analyzed by the machine. Nevertheless that the AI still had its problems with Montezuma’s Revenge, in average the machine learnt faster from the human players, as it did on its own before. Based on this, Microsoft concluded that with better human teachers an AI is learning faster. Just as it applies for humans.

Inside an organization employees may require temporary coaches, as they have the required technical knowledge, but may lack of soft skills. Such raw talents need support by experienced colleagues to reach the next level of their career. A possible solution is to team them up with a higher manager, who acts as a coach, so that he can learn the required skills, such as emotional intelligence. Cognitive learning is used.

Similar to this scenario, special coaches may teach AI software to make the adequate decisions. This is relevant as decisions not only have to be maximized for the short-term, but to ensure sustainability to maximize the long-term profit. Ethics & Compliance have to be obeyed, even if impunity would not punish violations to law. The AI has to understand that nevertheless there is a cost of corruption, which can manifest itself, for example, in shrinking markets, raising costs and low profit margins. Even fines based on global investigations have to be considered. Business decisions have to be based on law and values. Furthermore, the AI have to fit to internal organization, including to the human employees. Based on region or even group culture, the software has to interact differently with its human colleagues. Human and machine diversity are no single topics, but the human machine group requires such.

Human AI Coaches can teach such ethical decision making to ensure that the algorithm mathematically understands that transparent business ensures long-term success, even if on the short-term this may lead to lower results. As each company has its individual Code of Conduct, mostly based on its founder, decision making has its individual variations, so that the machines could not learn such behavior automatically from similar software used in different companies. Trail-and-error can easily lead to high fines and reputational damage, cognitive learning and “human understanding” is the more effective solution.

SMP Robotics & Robotic Assistance Devices Unveils New Swarm Technology Allowing Multiple Robots To Operate At One Site

SMP Robotics, a manufacturer of autonomous mobile robots, unveiled new artificial intelligence technology that gives its security guard robots the ability to communicate and deploy jointly at the same patrol site.

The new technology, developed in conjunction with Robotic Assistance Devices (RAD), the exclusive North American assembly partner for SMP Robotics, provides an organization additional situational awareness and streamlined guarding on-site.

SMP Robotics Unveils New Swarm Technology Allowing Multiple Robots to Operate at One Site

Happy New Year 2018

All,

Just a quick note to wish you all a very happy 2018.

Our progress in 2017 has been fantastic, with the growth of the online platform going well, and the dramatic increase in our offline meetup chapters. We have gone from just the London Chapter to well over 10 chapters getting established.

I plan for us to continue our growth in 2018, with more Chapters launching and more activity on the online platform.

Ultimately this is your platform to use, we have user blogs and forums that are open and available for you all to share with the community and to start discussions on topics you are interested in.

As with any community there is a snowball effect, and we all need to work on growing our membership to get to critical mass. I appreciate everyone’s support in this matter.

I truly believe 2018 is going to be an amazing year for the development and adoption of Artificial Intelligence. Lets make sure the Neurons platform is actively part of this.

Wish you all a very happy 2018.

Andy

 


Link to Full Article: Read Here

AI Unicorns and the Third Wave of AI Startups

AI Unicorns

and the Third Wave of AI Startups

Since 2014 we have seen a huge focus on startup investment for companies working in the field of Artificial Intelligence, and for obvious reasons. But the first wave of AI startups are now in the later stages of startup growth and this is focusing the VC sector on the later stage investments as they are lower risk. While the second wave of AI startups have still been able to secure seed funding over the last few years, the opportunities for AI startups over the next few years looks more challenging.

While the changing focus of the VC sector on later stage funding for AI companies is understandable, it risks missing early investment in the future AI unicorns that will come from the third wave of AI startups and entrepreneurs.

One can easily relate this to the difference between Yahoo / Altavista with that of Google. Google could be considered a third wave Search Engine startup, many years behind the leader of the time, Yahoo. But history should teach us that late entries into a market can become the dominant player over time. There is no reason to doubt that we will see something similar happen within the AI space.

I am concerned that the VC sector will risk missing investing in the future AI unicorns because they are too focused on the developing the first and second wave companies, that will end up being the Yahoo’s of the AI world anyway. Many AI startups now are focused on platforms and applications, helping large businesses implement simple examples of AI. This focus on getting the startups to revenue generation, will naturally means they will be more interested in implementation of existing techniques rather than pushing the research and advancing the field of AI.

Obviously I am not saying all first and second wave AI startups are going to be longer term poor performers, but we have already seen many first wave startups being bought by larger companies to help build their own capability and focus on their own specific applications. DeepMind is probably one of the few exceptions to this, as they still have a major focus on pure research.

However, what needs to be understood is that we still at the very early stages of AI development, as my Continuum of Intelligence shows, there are many levels of progress needed to produce a truly super intelligent capability, and this will take a number of waves of investment in many different AI companies to achieve this. Mark Cuban has suggested that the world’s first trillionaire will be an artificial intelligence entrepreneur. I believe this will come from a company that is part of the third or fourth wave of AI startups, receiving seed funding in the next few years.

Over the next decade we will see many major advances in AI capability, much of this will come from the AI companies that are currently leading the way, but we should expect to see advances from companies that have not even started their journey yet.

We are only at the beginning of this journey of AI discovery. Lets hope the VC sector with its focus on later stage companies does not stifle the AI entrepreneurs of the future.

Thank you for reading and I wish you all a very happy 2018 !


Link to Full Article: Read Here

3 recent AI Articles by Joe McCullagh

AIMed 2017 Recap: Data, AGI, and Limitations
https://www.trueprocess.com/aimed-2017-recap-data-agi-limitations/

What’s Blocking Real-Time Predictive Analytics and Machine Learning in Healthcare?
https://www.trueprocess.com/whats-blocking-real-time-predictive-analytics-machine-learning-healthcare/

The Insanely Difficult Crossword Puzzle for Medical Device Connectivity Experts
https://www.trueprocess.com/insanely-difficult-crossword-puzzle-medical-device-connectivity-experts/

SPANISH START-UP SHERPA NAMED AMONGST THE 100 MOST INNOVATIVE COMPANIES IN ARTIFICIAL INTELLIGENCE

SPANISH START-UP SHERPA NAMED AMONGST THE 100 MOST INNOVATIVE COMPANIES IN ARTIFICIAL INTELLIGENCE

  • The A-ha! Conference in San Francisco was the event CB Insights chose to present its prestigious AI 100 and where Sherpa was recognized amongst the select group of 100 companies developing the most innovative Artificial Intelligence technology
  • Earlier this year the Basque start-up was a finalist at CognitionX, a prestigious awards ceremony in London that recognizes excellence in Artificial Intelligence, and where it was surpassed only by Deep Mind (acquired by Google for $500 million). Sherpa has also been presented with the following awards this year: Red Herring Global Winner, Red Herring 100 Winner Europe 2017, White Bull Award and Best Mobile App Award

 

Bilbao, December 14th 2017.- Sherpa, the predictive Artificial Intelligence platform has been named to the prestigious AI 100 in San Francisco. The award, which is granted by consultancy firm CB Insights recognizes Sherpa as one of the top 100 most innovative companies using Artificial intelligence in the world. This is how the CEO and Founder of CB Insights Anand Sanwal put it during the A-Ha! Conference which took place in San Francisco and which was also attended by Sherpa CEO and Founder Xabi Uribe-Etxebarria.

The CB Insights research team made their decision after evaluating over 1000 companies using Artificial Intelligence in areas as diverse as cyber security, robotics and medicine.

“It’s an honor for us to be amongst the top 100 most innovative companies in Artificial Intelligence on a global level. It’s recognition for the work of the whole team and we hope to take these new developments which have been rewarded to the market in 2018 to help make people’s lives easier,” said Xabi Uribe-Etxebarria, CEO and Founder of Sherpa.

Earlier this year Sherpa was a finalist at CognitionX, an awards ceremony in London which recognises excellence in Artificial Intelligence, where it was surpassed only by Deep Mind (acquired by Google for $500 million). Sherpa has also been honoured with the following awards this year: Red Herring Global Winner, Red Herring 100 Winner Europe 2017, White Bull Award and Best Mobile App Award. Finally, Sherpa has also been featured by the technology consultancy Gartner as one of the top three intelligent apps of the moment.

 

About Sherpa
Sherpa, with headquarters in San Francisco and Bilbao, is developing AI-based virtual personal assistant technology with predictive capabilities that enable virtual assistants to learn about users and anticipate their needs before they are asked. Sherpa technology is designed for manufacturers of consumer products, such as automobiles, intelligent ear speakers, in-home speakers and appliances, and wearables, seeking to add intelligence to their products and explore new business models based on offering digital services. Sherpa also makes a Spanish-language consumer app for smartphones and tablets. Preloaded on Samsung smartphones since 2016, the Sherpa app has been downloaded more than 1 million times and is the most widely used Spanish-language personal assistant app for consumers.
For more information, visit http://sher.pa

 

Related Links:

Enterprise AI Workshop at CES 2018 – Algomus.com

Algomus is honored to partner with Sony Pictures Home Entertainment to invite you to a Networking Lunch and Enterprise AI Workshop.

Top enterprises know that with easy access to data and analytics at a business user level you can increase sales, reduce costs and enrich the customer experience. It is becoming crucial to be able to analyze important KPIs and operational metrics at a granular level while getting the bigger picture across all operations to create sustainable, streamlined, and profitable strategies.

To stay ahead of the rapid changes in the retail industry deploying Artificial Intelligence and Machine Learning applications integrated with robust, scalable, and self-service Business Intelligence is on everyone’s roadmap.

Join us for a Networking lunch followed by an interactive session including live demos and real case studies.

What to Expect:

  • Live demo of the Algo Workbot and Enterprise AI Platform
  • Demonstration of how conversation is becoming the new interface to technology
  • See real examples of data visualizations and dashboards that help answer the question of question of What to Ship, to Where, and When
  • Learn how Sony Pictures has successfully driven significant bottom-line ROI from using Algo to improve store/trait performance
  • See how Artificial Intelligence can be applied to automate business processes in the Physical and Digital Supply Chain

CES 2018 will feature hot trends such as Voice Assistants, AI, AR/VR, IoT, Wearables, Safety Tech, Robots, Smart Mobility and so much more. If you are in the Retail, Entertainment or CPG or Manufacturing industries don’t miss a chance to come see what one of the hottest tech startups out of Detroit/SF Bay Area is building!

The event is free, but space is limited, so it is a first come, first serve basis.

We hope to see you there!

Location of Event (Country / City): Embassy Suites by Hilton Convention Center Las Vegas  3600 Paradise Road Las Vegas, NV 89169
Date of Event: January 9, 2018
Book Tickets: https://algomus.com/enterprise-ai-workshop-ces-2018/


Link to Full Article: Read Here

AI in Healthcare Summit – Bostin – 18th/19th Jan 2018

Join us in Boston this January 18-19 for our AI in Healthcare Summit, an industry-leading event uniquely seated at the burgeoning intersection of healthcare and cutting-edge technologies. You’ll discover the latest advances in healthcare AI tools and techniques from the world’s top innovators, and come away with a wealth of practical tips and actionable insights that will enable you and your institution or organization to become a pioneer in AI’s transformation of healthcare.

https://www.insightxnetwork.com/ai-healthcare-summit.html


Link to Full Article: Read Here

What To Do With The Unemployed In The Era of Automation

Everybody is talking about how automation will impact employment. From robotics in Manufacturing to AI in legal firms, millions of jobs may be affected by our increasingly automated society. So what are we going to do about this feared ‘mass unemployment’?

Is It Really An Issue?

Whilst the mainstream media is running around yelling that the sky is falling, it’s important to maintain perspective. Is AI going to take our jobs, really?

Well, it’s a tough one to answer. It’s undoubtable that jobs will be lost, but if history tells us anything, it is that where old jobs disappear, technology creates new ones. The first Industrial Revolution was a major disruption to the entire way of life people had been used to. Electricity and telephones, and the subsequent invention and mass adoption of the television, likewise altered the face of society. Again, when the Internet arrived, life as we knew it was altered beyond recognition.

The way we live is changing again under developments in AI and automation in general. At no point has mass unemployment been the result of new technologies. Rather, and particularly in the case of the Internet, our working lives have become immeasurably more streamlined and efficient. We now also have freedom to pursue more employment options than ever before. Though we cannot accurately envisage what the new working landscape will look like in the era of automation, it is more than probable that new job roles will arise.

That being said, there will still be a crisis. As Leigh Watson Healy, chief analyst at market research firm Outsell, explains: “The pace of technology advancements plus the big data phenomenon lead to a whole new level of machines to perform higher level cognitive tasks.”

This means that we are going to have to work very hard to find roles to fit the new society. It may not be as apocalyptic as the newspapers say, but make no mistake, people will not be able to work as they did before.

Reassessing Your Talents

In the workplace of the future, a different set of skills will be required. These will, of course, be those which no AI or robot can do.

Strong interpersonal skills, already a big factor in employability for many roles, will become even more prized. If we are placed in a position in which our ability to relate to, engage with, and positively influence others is more important, perhaps we can expect friendlier, more helpful sales staff, for instance!

All joking aside, prioritising how people relate to one another may actually lead to a more pleasant society in general. Roles caring for others, in nursing, care work, teaching, and childcare may become more lucrative. This will be all the more useful considering the global issue of ageing population .

For those who are, perhaps, less good with people, computer and data science will be the most widespread. Business leaders are already calling for low-skilled workers who are at risk of being ousted by automation to retrain as coders and programmers.

Mark Cuban recently stated that the first trillionaire will be an AI entrepreneur, specifically, “somebody who masters AI and all its derivatives and applies it in ways we never thought of”. It’s hard to argue with his logic.

Roboticists and technicians of all levels will also win under the automation age. However, the extent to which they are needed will have some limit if we reach a stage at which robots and AI can repair, upgrade, and manage themselves or each other. That is also a real possibility.

Then, finally, there are the creatives. Try as they might, AI isn’t exactly the next Shakespeare yet, nor Da Vinci, or Mozart. Having said that, there are plenty of examples of algorithms doing a pretty good job of creating art and music.

Whilst the above video is emotionally-stirring in some respects (I quite like the line “He looks at me and pushes me out of his eyes”) that emotive element is only communicated through the human acting.

Regardless, however, of how sophisticated AI gets at being creative, it is unlikely that we will ever prefer it to the human touch. As artist, Mat Collishaw, recently put it:

“The gallery experience is meditative, almost church-like. You wander and engage thoughtfully with the works around you. There’s a sense of physical connection in the gallery or exhibition space… Whilst the threat of automation in industry is quite real, I think the art world will survive the ravages of technology.”

This means great things for the many, many creatives currently forced to commodify their talents in (at times) deeply unsatisfying careers. The creative mind will remain very much alive in industries like Film, probably working in tandem with artificial intelligence and other technologies, such as virtual and augmented reality. Whilst a lot of creatives working in Advertising may see an upheaval as the neo-ambient advertising age takes hold under the reign of IoT, human creativity is likely to carry a price premium in new media that materialise in the automated age.

Blue Collar vs. White Collar Unemployment

Blue collar jobs in Manufacturing will suffer a great blow because of automation, more likely from robots rather than artificial intelligence. This will decimate huge swathes of low-income families in developing nations, much more so than here in the West. That is an unavoidable reality and something that needs to be urgently addressed. There are, as yet, no answers as to where these unskilled or very specifically skilled workers will go, or what will happen to them.

Nonetheless, in the wealthy countries of the West, there seems to be more of a scandal surrounding the white collar jobs that are at risk. We outlined above what skills will be potentially more lucrative in the automated future, but the issues facing the current white collar workforce are taking centre stage.

Among those most likely to suffer are financial analysts and advisors, sports and financial reporters, online marketers, and surgeons and anesthesiologists. Though, it’s worth noting the recent news that a robotic anesthesiologist marketed by Johnson & Johnson has been binned as no one would buy it.

There’s a slightly outdated but interesting article on the white collar jobs at risk, written by Erik Sherman for Fortune from 2015, which is worth a read.

What If The Worst Happens?

Opinions as to how optimistic or pessimistic our future may be fluctuate wildly. Whilst we have tried to balance both sides of the coin in this article, we should pay some attention to the worst case scenario. Unlike most worst case scenarios, however, this one might be more realistic than the rosy alternative where new jobs are born.

The sheer velocity of advancement in AI is dizzying. Some even argue that artificial intelligence will surpass human intelligence within under thirty years. Whether or not this prediction is accurate, it’s safe to say that this rate of advancement is unprecedented in the history of humankind. That’s why addressing the situation now is so crucial.

We already mentioned the serious threat posed to those in the developing world whose sole source of income will be swallowed whole by automation. These are the people who will be hit hardest. Nonetheless, they are far from the only ones.

If we suppose that the majority of jobs will disappear, only to be replaced by ones that are unsuitable for the workforce, then the only answer is a complete rethink of the way our society is structured. Some, such as Bill Gates, are behind the idea of a Universal Basic Income, where everybody is given a guaranteed income to keep the economic wheels turning. Others argue that the whole idea is absurd, and will only lead to more problems than it solves.

So, what exactly is the answer? Do we, the great unemployed mass, wallow in swamps, build our homes from mud and sticks and drink pond water like the surplus scum we are whilst the elite enjoy the fruits of automation? Or should we allow global capitalism to grind to an inevitable halt and live some utopian dream? Or, do we let the AI overlords plug us into the Matrix and start the whole thing again? Send your answers on a postcard…

What If We Live Too Long? Life Extension and the Problem of Population

https://www.youtube.com/watch?v=LY7x2Ihqjmc


Link to Full Article: Read Here

Industry Focus: AI In Medicine

In a recent article, we talked about the ways in which Natural Language Processing  could be an administrative saviour in the healthcare system. However, this technology is just one of the aspects of Medicine and Healthcare that are seeing the rise of AI and robotics promising a major positive impact.

So far, we have seen deep learning algorithms accurately (96%) diagnose tuberculosis from chest x-rays. Google has trained an AI to detect the spread of breast cancer into lymph node tissue on microscopic specimen images. Neural networks have demonstrated that they are capable of competing with human physicians at detecting changes in diabetes from images of a patient’s retina.

These are merely a few examples of how AI is being used in diagnosis. However, one of the most major applications of AI in diagnosis comes via its ability to discover new relationships between data points to establish associations previously invisible to the human eye. The sheer amount of data analysis required to scrape the surface of these relationships make it prohibitive both on a cognitive and a financial level. But deep learning neural networks have access to this information in barely any time at all. Unstructured data in the form of imagery, text, test results, and more besides can be organised, processed, and analysed in unprecedented depth.

The result of this could mean the ability to establish causation, to predict future conditions on an individual basis, to recommend the best treatment and medication based on deeply analysed historical patient records, and to detect conditions and illness from the very earliest stage. The life-saving and cost-reducing benefits will be huge.

UK researchers, for example, recently fed four machine learning algorithms data on 295,000 patients. The aim was to allow the algorithms to correlate medical history with rates of heart attacks. Once the algorithms had processed this data, they were then fed records from a further 82,000 patients in order to predict which ones would have heart attacks. These were patients with a history of heart attacks, but this data was not included in that fed to the algorithms. The algorithm results were compared against factors identified by American College of Cardiology/American Heart Association (ACC/AHA) guidelines which take into account factors such as smoking history, age, cholesterol, and diabetes.

All four of the algorithms performed significantly better than the ACC/AHA guidelines. They correctly predicted 7.6% more events, raising 1.6% fewer alarms. This amounts to no fewer than 355 patients’ lives being saved… by AI.

These examples demonstrate the early stage of research at which we are now. So how much more accurate will deep learning algorithms be in years to come? Technology, as we all know, evolves extremely fast. It’s mind-boggling to wonder quite where we will be with AI in medicine in just five years’ time.

What’s more, as technology evolves, hardware costs fall and processor speeds rise. Soon, the technology will undoubtedly be as, if not more, sophisticated than a human physician. What’s more, it will be affordable. Medical physicians are expensive, understandably, given their level of training and expertise. This means that medical costs are correspondingly expensive, both for governments and medical insurance companies.

In the UK, as we know, the NHS is struggling beyond belief. Cost-saving measures are rife, and patient care suffers. AI has the ability to fix this indefinitely. For those with private medical insurance, and in countries where that is the only option, membership costs may fall considerably. The result? Better health, wellbeing, and longevity for all.

AI Health Assistants

In the UK, getting a doctor’s appointment can be akin to getting an audience with the Pope. Online self-diagnosis can leave one with the distinct sensation of being on the cusp of death. Call the NHS helpline, and the chances are you’ll be told to go see a doctor.

Clearly, we need a solution. And, you guessed it, AI might just be that solution.

One AI-powered mobile app, whose information has been approved by the NHS, may be one tool to combat these issues. The Your.MD app features a chatbot that uses natural language processing and generation, which it uses to ask patients about their symptoms and provide clear, easy-to-understand information regarding their medical condition. Its machine learning algorithms can generate a complex map of the user’s condition and provide a personalised experience. Effectively, it gets to know you. Where necessary, of course, it urges the patient to see a human doctor.

Your.MD is not the only AI health assistant promising to alleviate the strain on the GP surgery. Ada is an AI-powered health assistant that is integrated with the Amazon Alexa. It learns the user’s medical history, generates a detailed symptom assessment report, and provides the option to contact a human doctor.

Babylon Health is another, which also follows up on past symptoms, and can put you in touch with a doctor via video call if need be.

 

Data and Blockchain

Of course, medical data is incredibly sensitive, as Google DeepMind found out to their detriment when their data-sharing with the NHS became the target of privacy campaigners and UK authorities. So how can we ensure that the data being collected and analysed by artificial intelligence systems is safe?

The answer may lie in the blockchain, which is a distributed ledger which ensures both privacy and transparency of data. Data is stored at each ‘block’ in the chain, only accessible to approved individuals and immune from manipulation. AI systems like Morpheo, which has been used to diagnose sleep disorders, use blockchain to keep patient data safe, private, and secure.

Whilst blockchain is an emergent technology that promises positive disruption to industries as diverse as Banking and Agriculture, as well as Healthcare, of course, there are still some issues to iron out before we can be certain that it is as secure as it needs to be. Nonetheless, as, like AI, it evolves, we can expect vastly improved iterations that will have massive implications.

With ever-increasing computational power and vast reams of incoming data, combined with artificial intelligence technology, the tools are arriving to enable physicians across the full range of medical disciplines to improve patient care. Less expensive care, with faster, more accurate results will have an instrumental impact on the overall health and wellbeing of our society. The only issue will be what to do with the swollen population as everybody starts living longer…

link to “How The Use of Natural Language Processing in Healthcare Can Revive The NHS

link to “What If We Live Too Long? Life Extension and the Problem of Population


Link to Full Article: Read Here

The Continuum of Intelligence

The Continuum of Intelligence

What if the only purpose of the universe and the evolution of life was for the advancement of intelligence. Darwin was wrong, its not “survival of the fittest”, its “survival of the smartest”. The pursuit of advanced intelligence is our true purpose and will lead to answers to many of the biggest questions that currently challenge us. The Continuum of Intelligence is a roadmap for the journey towards advanced intelligence.

Abstract

The purpose of this article is to help provide a mechanism or index to measure the progress of the field of artificial intelligence towards artificial general intelligence, super intelligence and beyond. There is much uncertainty as to when these milestones will be achieved, but without a measure of progress towards them, it becomes even more difficult to determine when they might occur. This article will not only provide an index of the continuum of intelligence in which to measure our progress to achieving advanced AI, but will also give a considered view on some related topics, such as consciousness, dreaming and personality. Much has been written on these topics from physicists, mathematicians, neuroscientists, philosophers and phycologists, but here I provide a computer scientist’s perspective.

This article provides a preview of my book, by the same title, to be released in 2018.

Introduction

At almost every meeting and conference on AI most of us will at some stage be involved in a discussion on the definition of Artificial Intelligence. The reason for this is quite simple. As an industry we don’t have a universally accepted definition of AI [8]. Yes we have the Turing Test, but

this only provides one milestone on the journey towards advanced artificial intelligence. It does not define what intelligence is, or even specify the elements of intelligence. When two dozen prominent theorists were recently asked to define intelligence, they gave two dozen, somewhat different, definitions [2,7]. The problem is much wider than just the field of Artificial Intelligence. The study of the brain and consciousness, with thousands of research papers from the field of psychology and neuroscience, still does not have a single universally accepted definition of consciousness.

As we continue to develop more and more intelligent systems, not having a single universally accepted definition of intelligence will become more problematic for a number of different reasons, not least when we consider the legal and ethics aspects of the systems we build.

We have been asking the wrong question. We should not be trying to find a single definition of artificial intelligence or even just intelligence, but with the understanding that there is a range of intelligent capabilities, we should be looking to define the range of intelligent behaviours. There already is much work in the space to help define theoretical frameworks for intelligence. From the MIT Centre for Brains, Minds and Machines “Understanding intelligence and the brain requires theories at different levels, ranging from the biophysics of single neurons, to algorithms and circuits, to overall computations and behaviour, and to a theory of learning. In the past few decades, advances have been made in multiple areas from multiple perspectives.” [11]

This leads us to potentially complicated frameworks, that leverage the different fields of research to describe them. This becomes somewhat of a impediment to its common use as they are not singularly aligned to the approaches and language used by those using and developing machine intelligence. This article rectifies this, by constructing a detailed but simple definition of the different levels of intelligence on the journey to super intelligence and the singularity. This index of intelligence, or continuum, will have the greatest benefit to describe the different types of artificial intelligence application and systems being designed and built. The index is aimed to help those researching and developing artificial intelligence algorithms, topologies and applications, in describing the capabilities of the technique, and essentially to make it easier to compare methods in terms of their abilities.

Read the full article at http://andypardoe.com/framework-continuum/

The Continuum of Intelligence

The Continuum of Intelligence

What if the only purpose of the universe and the evolution of life was for the advancement of intelligence. Darwin was wrong, its not “survival of the fittest”, its “survival of the smartest”. The pursuit of advanced intelligence is our true purpose and will lead to answers to many of the biggest questions that currently challenge us. The Continuum of Intelligence is a roadmap for the journey towards advanced intelligence.

Abstract

The purpose of this article is to help provide a mechanism or index to measure the progress of the field of artificial intelligence towards artificial general intelligence, super intelligence and beyond. There is much uncertainty as to when these milestones will be achieved, but without a measure of progress towards them, it becomes even more difficult to determine when they might occur. This article will not only provide an index of the continuum of intelligence in which to measure our progress to achieving advanced AI, but will also give a considered view on some related topics, such as consciousness, dreaming and personality. Much has been written on these topics from physicists, mathematicians, neuroscientists, philosophers and phycologists, but here I provide a computer scientist’s perspective.

This article provides a preview of my book, by the same title, to be released in 2018.

Introduction

At almost every meeting and conference on AI most of us will at some stage be involved in a discussion on the definition of Artificial Intelligence. The reason for this is quite simple. As an industry we don’t have a universally accepted definition of AI [8]. Yes we have the Turing Test, but

this only provides one milestone on the journey towards advanced artificial intelligence. It does not define what intelligence is, or even specify the elements of intelligence. When two dozen prominent theorists were recently asked to define intelligence, they gave two dozen, somewhat different, definitions [2,7]. The problem is much wider than just the field of Artificial Intelligence. The study of the brain and consciousness, with thousands of research papers from the field of psychology and neuroscience, still does not have a single universally accepted definition of consciousness.

As we continue to develop more and more intelligent systems, not having a single universally accepted definition of intelligence will become more problematic for a number of different reasons, not least when we consider the legal and ethics aspects of the systems we build.

We have been asking the wrong question. We should not be trying to find a single definition of artificial intelligence or even just intelligence, but with the understanding that there is a range of intelligent capabilities, we should be looking to define the range of intelligent behaviours. There already is much work in the space to help define theoretical frameworks for intelligence. From the MIT Centre for Brains, Minds and Machines “Understanding intelligence and the brain requires theories at different levels, ranging from the biophysics of single neurons, to algorithms and circuits, to overall computations and behaviour, and to a theory of learning. In the past few decades, advances have been made in multiple areas from multiple perspectives.” [11]

This leads us to potentially complicated frameworks, that leverage the different fields of research to describe them. This becomes somewhat of a impediment to its common use as they are not singularly aligned to the approaches and language used by those using and developing machine intelligence. This article rectifies this, by constructing a detailed but simple definition of the different levels of intelligence on the journey to super intelligence and the singularity. This index of intelligence, or continuum, will have the greatest benefit to describe the different types of artificial intelligence application and systems being designed and built. The index is aimed to help those researching and developing artificial intelligence algorithms, topologies and applications, in describing the capabilities of the technique, and essentially to make it easier to compare methods in terms of their abilities.

Read the full article at http://andypardoe.com/framework-continuum/


Link to Full Article: Read Here

Acceptance of AI in Corporate Decision Making

On the acceptance of AI in corporate decision making – a survey.

Approximately 658 corporate decision makers have been surveyed for their confidence in their own decision-making skills and their acceptance of Artificial Intelligence (A.I.) in general as well as in augmenting (or replacing) their decision making. Furthermore, the survey reveals the general perception of the corporate data-driven environment available to decision maker, e.g., the structure and perceived quality of available data.

A comprehensive overview and analysis of our AI sentiments, as it relates to corporate decision making, is provided as a function Gender, Age, Job-level, Work area and Education.

On the Acceptance of Artificial Intelligence in Corporate Decision Making – A Survey.

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