PreSeries receives Partnership Award at Telco Data Analytics conference

The Telco Data Analytics conference series is the perfect occasion to witness leading industry players showcasing their innovations, success stories and strategies for the future of telecommunications. It is the place to go to uncover new trends, network with potential partners and stay abreast of opportunities and challenges facing the market. The latest edition of the European tour took place in Madrid on October 25 and 26. Major operators like Telefonica, Orange, Swisscom and other industry players such as Huawei, EMC, ip.access, Netscout, Solvatio and SAP were in attendance.

One of the highlights was the award ceremony, where BigML won the Partnership Award for its collaboration with Teléfonica Open Future_ in creating PreSeries. Preseries’ mission is to take advantage of the latest innovations in Machine Learning to transform startup financing from its current subjective form into a highly objective data-driven practice.

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Amir Tabakovic (VP Business Development at BigML) holding the prize

Thanks to Telco Data Analytics for this award. We are looking forward to establish an even more fruitful partnerships in the future!

AI Startup Battle coming to São Paulo on December 9, at the BSSML16

The Artificial Intelligence Startup Battle where the jury is an algorithm keeps on traveling around the world! We are glad to announce our next stop: São Paulo, Brazil, on December 9, 2016. This will be the third edition of a series of very exciting battles, where five AI startups compete with each other and are judged by a Machine Learning algorithm, with no human involvement.

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The world’s premiere Artificial Intelligence Startup Battle took place in Valencia, Spain, last March 2016, when Telefónica Open Future_ and BigML presented PreSeries to the world. The reaction of the audience was extremely positive! So much that the PreSeries team and Telefónica Open Future_ decided to continue with a series of battles spread worldwide. That is why we launched the second edition in Boston last October 12 at PAPIs ’16. But we still want more! This third time in São Paulo, Brazil.

Apply to compete!

The worldwide interest in Machine Learning makes Brazil’s economic capital São Paulo the perfect South American stop to organize the next AI Startup Battle. If your startup applies Artificial Intelligence and Machine Learning as a core component of your offering, we invite you to compete in the battle! Submit your application and if you are selected, you’ll be able to pitch on stage, make connections at the conference, and get unique exposure among a highly distinguished audience.

Five Artificial Intelligence startups will be selected to present their projects on stage on December 9 at the closing of the Brazilian Summer School in Machine Learning 2016. These five startups will be automatically judged by the Machine Learning algorithm of PreSeries that will predict the probability of success for each startup.

The winner of the battle will be invited to Telefónica Open Future_’s acceleration initiatives to enjoy the access to the Wayra Academy (up to six months) and to Wayra services and contacts, such as training, coaching, a global network of talent, as well as the opportunity to reach many Telefónica enterprises in Brazil and abroad. After six months the winning company will be evaluated and may apply to run for a full Wayra acceleration process, including up to a US $50,000 convertible note loan (versus a possible 7 to 10% equity). Microsoft will also contribute to the prize of the winning startup with US $120,000 in Microsoft Azure credits to be consumed in two years. The winner will receive a BizSpark Plus stamp, an upgrade of the Microsoft benefits for startups offered in Azure, access to its software platform, and the opportunity to connect with investors and other businesses.

Competition details

WHAT:

  • Artificial Intelligence Startup Battle.

WHEN:

  • Friday, December 9, 2016 from 06:00 PM to 07:30 PM BRST.

WHERE:

  • VIVO Auditorium (Telefónica Building). Av. Engenheiro Luís Carlos Berrini, 1376 – Brooklin, São Paulo – SP, 04571-000, Brazil.

APPLICATION PROCESS:

The Machine Learning technology behind PreSeries

The battle is powered by PreSeriesa joint venture between Telefónica Open Future_ and BigML that uses a diverse set of public and private data about early stage startups to find patterns that help investors foresee which companies warrant a potential investment. PreSeries predictive models are built on top of BigML’s Machine Learning platform and facilitate agile data-driven decisions in combination with the worldwide funding experience of Telefónica Open Future_.

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The AI Startup Battle will meet its select audience in a very innovative context, the Brazilian Summer School in Machine Learning 2016. This event is part of a series of Machine Learning courses organized by BigML in collaboration with VIVO and Telefónica Open Future_. Read this blog post for more details.

BSSML16 is a two-day course for industry practitioners, advanced undergraduates, as well as graduate students seeking a fast-paced, practical, and hands-on introduction to Machine Learning. The Summer School will also serve as the ideal introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.

AI Startup Battle in Boston – The AI has spoken!

It is now well established that advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities. So much so, that hearing early-stage investors preaching how AI will automate everything is not a surprise nor a far fetched idea anymore. Even though, investors are keen to admit the disruptive power of AI, they still have a harder time admitting the same when it comes to the venture capital industry itself. The idea of automating early-stage investments is slowly taking ground in the VC community, but a lot convincing still needs to be done. Thus said, and knowing the industry’s appetite for competition, what a better way than organizing a startup contest with the jury being an AI? That is why we created the AI Startup Battle, our best attempt to show the world that even VCs can be disrupted one advancement at a time.

The last edition of the AI Startup Battle took place last Wednesday (Oct. 12 2016) during PAPIs ‘16, the 3rd International Conference on Predictive Applications and APIs. Four startups competed on stage at the Microsoft New England Research & Development Center (MIT Campus) and an impartial AI, powered by PreSeries and Telefónica Open Future_ chose the winner without having humans influencing the outcome.

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Joonko, winner of the AI Startup Battle at PAPIs ’16 – Represented by Ilit Raz, CEO & CoFounder (left) and Guy Grinwald, CTO & CoFounder (right)

After being questioned live on-stage by the algorithm, the four startups were delivered a score from 0 to 100 representing their long-term likelihood of success. This edition’s winner with a total score of 89.24 is Joonko, which provides data-driven solutions to help companies improve the diversity and inclusion of their workforce. They will be offered an investment of up $50,000, an incredible place to work, access to mentors, business partners, a global network of talent as well as the opportunity to reach millions of customers.

The second place was for Cognii with a close score of 83.84, they are dedicated to improve the quality, affordability and scalability of education with the help of Artificial Intelligence. The third position went to Heartbeat Ai Technologies with a score of 70.73; they aim to design emotionally intelligent technologies and tools to help machines understand people’s feelings, needs and motivations. Finally the fourth position, was for Palatine Analytics with a score of 70.71; they help companies evaluate the current and future performance of their employees by using Artificial Intelligence and Predictive Analytics.

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From left to right: Poul Petersen (CIO at BigML), Lana Novikova (CEO at Heartbeat Ai Technologies, Miguel Suarez (Strategic Advisor at BigML), Guy Grinwald (CTO & CoFounder at Joonko), Ilit Raz (CEO & CoFounder at Joonko), Archil Cheishvili (Founder at Palatine Analytics), and Dharmendra Kanejiya (Founder & CEO at Cognii)

Following the event, Francisco J. Martin, President of PreSeries, and Cofounder and CEO of BigML said “Today was further testament to the increasing level of interest in a quantifiable, data-driven approach to evaluating early stage startups. We have been continuously improving the models that make PreSeries possible as evidenced by the variety of questions ranging from team experience and depth to prior investor interest, as well as intellectual property and current traction. Many traditional investors were skeptical when we started this journey, but we are now witnessing that a growing number of institutional investors are starting to see the merit in PreSeries’ approach. It’s safe to say our ‘crazy idea’ will move onward with an emboldened spirit”.

Stay tuned for updates on the next AI Startup Battle!

AI Startup Battle in Boston – Meet the contenders!

If you are somewhat familiar with the world of startups today, you have probably noticed how startup competitions keep popping up all around the place. From the biggest competition to the more modest, every early-stage venture can now find its way under the spotlight. But despite their growing number, startup contests are for the most part still relying on the same approach. Meaning, carefully selected companies pitching in front of carefully selected juries.

By design, a competition’s result will reflect its jury’s subjectivity. Even when decades of research in psychology and behavioral economics show us that putting human bias at the center of a selection process might not be the best solution. For lack of better alternatives, humans are believed to be the best and only option. Yet when dealing with predicting the success of a startup, a jury will often provide you with as many opinions as there are members of the jury. In the end, the result is a consensus of opinions based on five minute presentations and handful of slides.

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Luckily, there is still hope for a more scientific approach that does not remove the fun out of the competition! Our solution? The AI Startup Battle.

The second edition of the Battle will be taking place on Oct. 12 as part of the PAPIs ’16 conference on predictive applications and APIs. Join us at the Microsoft N.E.R.D. center on the MIT campus where you’ll see live real-world & high-stakes AI judging startups.

The first edition that was previously held in Valencia in March 2016 where PreSeries’ impartial algorithm crowned Novelti, a company that uses online machine learning algorithms to turn IoT data streams into actionable intelligence. Novelti will be presenting on stage this week and kickstart the contest for this year’s participants.

Let’s have a quick look at the contenders:

Cognii: they’re developing a leading edge assessment technology to evaluate essay-type answers for online learning platforms. Their exclusive natural language processing technology can also give customized feedback, not just a score, to engage students in an active learning process and improving their knowledge retention. Cognii’s solution is offered through an API for all online learning platforms, including LMS (Learning Management System), MOOCs (Massive Online Open Course), and more.

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Joonko: The first data-driven solution for workforce diversity. It integrates into companies’ SaaS platforms and analyzes real actions in real time. The data collected is unbiased – this way, organizations can ensure that all employees get an equal opportunity to succeed in a safe, non-judgmental way. Diversity is a business problem, not just an HR one.

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Palatine Analytics: Palatine helps companies evaluate the current and future performance of their employees by using AI and Predictive Analytics. With Palatine, you can collect reliable data points by incentivizing employees through Palatine’s real-time AI-driven feedback system capturing accuracy of evaluations, recognizing strengths and weaknesses of employees, and using predictive analytics to accurately predict their future performance.

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Heartbeat Ai Technologies: The mission of Heartbeat Ai is to design emotionally intelligent technologies and tools to help machines understand people’s feelings, needs and motivations, and ultimately improve our emotional wellbeing. How? Language uniquely enables the differentiation of fine-grained emotions. The approach first teaches machines to understand fine-grained emotions from language and context. Then, it builds a broader understanding of human needs, desires and motivations.

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Good luck to all participants!