Nara Logics CEO, Jana Eggers, shares four tips about how to use AI as a tool for business.
Published January 17, 2018 on OReilly.com
AI is just a tool. And, like your hammer, it needs you to be productive. OK, yes, it is a cool, advanced, complicated tool. Let’s go with a 3D printer as the better analogy than a hammer: training required, still in its early stages, making great advances every day. So, how do you use this tool in your business? My top four tips:
1. Understand that AI is not magic; it is just maths – and it needs you...
Also, be sure to check out Jana's talk, “Building a learning organization is AI's hat trick,” at the Artificial Intelligence Conference in New York, April 29-May 2, 2018.
Article posted on Medium by Jack Garza of SVB Financial on Jan 11, 2018.
Artificial Intelligence (“AI”) is popping up in conversations more and more in tech and non-tech circles alike. Andrew Ng, a leading technologist in the space, describes AI as “the new electricity,” predicting that it will trigger the same widespread innovation that fundamentally transformed human life following the discovery of electricity in the 18th century. But what is AI?
AI has been a moving target since the term was coined in the 1950s, when early researchers attempted to create an Artificial General Intelligence (AGI), which would be able to do any task at or above the competency of a human. Over the next several decades, there were innovation booms followed by busts (frequently referred to as “AI winters”) during which AI fell out of fashion and innovation waned. Moreover, many of the major breakthroughs viewed as belonging to the AI realm were eventually seen as having little to do with AI at all (i.e. the ability to play chess).
Jana Eggers, CEO of SVB client Nara Logics, defines AI from the end user perspective as “a product that feels smart to the end user — and gets smarter”, which emphasize the functionality required to proceed the science, one which users can easily interact with.
Nara Logics CEO, Jana Eggers, is featured in 2018 Annual Trend Report, This Automated Life, presented by The Webby Awards.
HOW ADVANCED ALGORITHMS, MACHINE LEARNING, AND BOTS REDEFINE EVERY ASPECT OF MODERN LIFE, INCLUDING WHAT IT MEANS TO BE HUMAN.
We’re excited to launch the 2018 Annual Trend Report, This Automated Life. In this report, we explore the rise of artificial intelligence and the many ways it is changing our daily lives, from the posts we see on our newsfeeds to the way we shop, travel, treat illnesses, and so much more. AI is now proliferating at an amazing rate, and it will only become more common. Check out our report for a deep dive into what’s happening, the challenges and opportunities AI presents, and what this revolutionary technology means for you and your work.
The 2018 Annual Trend Report is the culmination of months of research, featuring case studies, a consumer survey conducted by YouGov, and trends to watch this year.
Featured in this report:
Download report >
By Davey Alba for BuzzFeed (https://www.buzzfeed.com/news), 12/28/2017
YouTube says those content moderation responsibilities fall to other groups working across Google and YouTube. But according to Bart Selman, a Cornell University professor of artificial intelligence, although these reviewers do not directly determine what is allowed or not on YouTube, they still have considerable impact on the content users see. “Since the raters [make assessments about quality], they effectively change the ‘algorithmic reach’ of the videos,” he told BuzzFeed News.
"Even if a video is disturbing or violent, we can flag it but still have to say it’s high quality.”
“It is well-known that users rarely look beyond the first few search results and almost never look at the next page of search results,” Selman continued. “By giving a low rating to a video, a rater is effectively ‘blocking’ the video.”
“Think of it this way,” said Jana Eggers, CEO of the AI startup Nara Logics. “If a search result exists, but no one sees it, does it still exist? It's today's Schrödinger's cat. … [Ratings] impact the sort order, and that impacts how many people will see the video.”
By Joyce Wells, Big Data Quarterly www.dbta.com, Nov 13, 2017
No longer the stuff of science fiction, the business uses for cognitive computing, artificial intelligence, and machine learning today include fields as diverse as medicine, marketing, defense, energy, and agriculture. Enabling these applications is the vast amount of data that companies are collecting from machine sensors, instruments, and websites and the ability to support smarter solutions with faster data processing.
To help readers gain a greater understanding about this emerging area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the inaugural list of Cool Companies in Cognitive Computing.
By Chloe Olewitz, Wibbitz.com, Nov 14, 2017
While the technology industry and the field of computer science were once almost entirely dominated by men, the rush of women at the forefront of pioneering AI developments today is only one example of how women are making huge progress in tech leadership. Diversity is important in every industry, and the women shattering the glass ceiling of the tech world embody the workplace evolution ushering in a more balanced work force, from the top down.
Jana Eggers was a mathematician and computer scientist before becoming the CEO of Nara Logics, where she and her team are spearheading a very specific type of artificial intelligence. Nara Logics’ platform utilizes neuroscience-based AI and machine learning technology to build synaptic connections in huge data stores. Their approach is based on the premise that big data only matters if you’re able to build a contextual understanding around any defined dataset. Where many AI platform solutions focus on algorithms that cluster and generalize, Nara Logics drills down to specified, contextualized data matching to help businesses in virtually every industry.
Article by David Needle, eWeek, October 26, 2017.
Machine learning and artificial intelligence will help automate tasks far beyond what the likes of Oracle, Saleforce.com, and even IBM are doing today, according to IT executives and industry analysts speaking at the Constellation Research Connected Enterprise conference on Oct. 25.
Jana Eggers, CEO of AI company Nara Logics, agreed that AI can be a great and necessary management tool. “We have so much data and information coming in. You need a tool that helps you understand the signal to noise.”
Eggers said Nara Logics’ customers include U.S. intelligence agencies as well as enterprise accounts. “We help them with decision support and how to use AI to figure out the next best action,” she said. “For our customers it’s about ‘How do I do more and react more quickly’. They don’t have a year to plan anymore and they don’t make three-year plans.”
Article published by KHARI JOHNSON and BLAIR HANLEY FRANK, Venture Beat, OCTOBER 26, 2017.
Above: Nara Logics CEO Jana Eggers speaks with Cisco VP Rajat Mishra onstage at VB Summit held October 23-24 at Claremont Club & Spa in Berkeley, California.
Image Credit: Michael O'Donnell / VentureBeat
This week the VB team went all out: We spent two days with some of the brightest minds in AI. Companies like Google, Pinterest, Lyft, LinkedIn, Amazon, and Walmart joined us alongside startups like Amplero, Datorama, Persado, and Clari.
What was most surprising was not the efficiency gains or improvements in ROI or CTR, though that’s all notable. More surprising were examples like talk of the importance of humility with AI at Indeed, the mistake of ignoring customers and noise in data that Pinterest brought up, or how AI was first brought to Cisco by a small group of believers.
Nara Logics Senior Product Manager, Elsie Kenyon, participated on a Women In Product (#womeninproductnyc) panel in July 2017. In the recording below, Elsie talks about the PM role in 'Building machine learning products' and gives practical tips for solving customer needs with AI. Other panelists included female PMs from Google, Squarespace, and Clafai. Check it out!
Published by Bridget Botelho, Editorial Director, TechTarget Search Business Analytics, August 1, 2017.
All areas of IT must brace for AI impact.
Throwing artificial intelligence at your data to answer business questions is like using a tornado to blow out a match.
In other words, just because artificial intelligence tools can provide answers doesn't mean you should use them. If good old business intelligence tools do the job just fine, stick with what you know. But AI is a great way to uncover information hidden within vast amounts of data -- as long as you're willing to use the information that surprises you, according to Jana Eggers, CEO of Nara Logics, a synaptic intelligence company based in Cambridge, Mass.
"If you aren't willing to learn, don't do an AI project. Do a regular analytics project," Eggers said during her presentation at the TDWI Accelerate conference in Boston earlier this year.
The articles in this guide provide deep insight into the dos and don'ts of AI, how AI affects the data center and IT staffing, tips for figuring out the ROI of AI, and more.
Published by Paul Dignan, Global Technical Account Manager, Finextra, July 13, 2017
The world of finance is changing. Consumers are becoming more demanding for ease of engagement, while financial institutions are under pressure to transform services using advanced technology. With a host of start-ups threatening the major players through innovative approaches to the market, it’s becoming an increasingly complex landscape to navigate. The one clear theme underpinning these shifts is applications. The financial sector is set to be transformed by the evolution of apps, whether adapting working methods to achieve greater efficiency or by consumers looking to better understand and manage their finances.
F5 Networks recently commissioned a report called The Future of Apps conducted by the Foresight Factory, which unveils some fascinating insights into major trends and projections that will significantly impact society over the next decade. The findings include important trends that will affect the finance industry and, in particular, the use of blockchain. With new breakthroughs in technology set to influence businesses across a variety of industries, the report sheds light on where action must be taken to capitalise on the opportunities and avoid areas of increasing threat.
... for some experts, the mid-term will still be about helping humans to make better decisions. We are looking at the horizon closer to 10 years before AI and machine learning are really in the driving seat. Jana Eggers of Nara Logics comments: “To me, what's next is how we can empower humans ... the computer can calculate many more options and the human can do a better job at deciding between those options. Very little of what we do is actually computing; a lot of it is decision and reasoning – and computers really aren't there yet.
By Trips Reddy, Senior Content Manager - IBM Watson, February 10, 2016
Artificial intelligence has been a dream in technology ever since Alan Turing first wrote his seminal paper, Computing Machinery and Intelligence, Now, thanks to advances in hardware power and algorithm design, AI is a growth industry – and it has no shortage of vocal advocates.
These are some of the most vocal and influential leaders working on artificial intelligence, robotics, chat bots, virtual reality, the ethics of autonomous software and vehicles and more. Be sure to follow them on Twitter to stay updated on the news and trends that are changing the world.
Here are the top 30 people in AI you should follow on Twitter (in alphabetical order):
7. Jana Eggers (@jeggers) – Math and computer science grad, and CEO at Nara Logics, which builds AI systems to help companies make decisions. Spent time researching supercomputers at Los Alamos National Laboratory.
Nara Logics Co-Founder and CTO, Nathan Wilson, describes how technology can help us in a world with information overload.
By Gwen Moran, Fast Company, January 20, 2017
"THE TECH SOLUTION | Nathan Wilson thinks that technology will help us with navigating the future, including that prioritization. Wilson, equal parts brain scientist and tech expert, is the cofounder and CTO of of Nara Logics, an artificial intelligence company focused on helping businesses make better decisions. He says that a confluence of factors, including the deluge of information and the need to make faster decisions, will create a need for technology that can create systems to help us stay 'above that ocean of information, systems that can help us prune things that are not relevant, and really bring to attention things that we do need to focus on,' he says."
By Craig Newmark, craigconnects, December 8, 2016
7. Jana Eggers
Jana Eggers is the CEO of NaraLogics, a company that uses synaptic intelligence to generate context relevant recommendations for businesses. Eggers has held top executive positions at Intuit, Blackbaud, Lycos, Sabre, and Spreadshirt.
Interview with Alistair Croll, Pandemon.io, December 1, 2016
Before her current role leading MIT AI startup Nara Logics, Jana Eggers drove innovation at a variety of companies, from nonprofit CRM Blackbaud to on-demand shirt printer Spreadshirt to products at Intuit. Before that, she worked at Los Alamos. A frequent speaker and practical thinker in the fields of AI and innovation, she urges audiences to listen better and think about culture, often humanizing an otherwise technical field.
By Nick Patience, Scott Denne, and John Abbott, 451 Research, November 23, 2016
We believe the artificial intelligence (AI) winter spanning 30 years or more is finally over, and we're in the AI spring. From autonomous vehicles to cancer diagnosis, developers are building applications to take advantage of machine learning and help humans do things more efficiently than we can unaided. Anywhere there is a critical problem that involves analyzing data at scales beyond that humans can handle using current analytics tools is ripe for being transformed by machine learning. It's rare for a technology to be attractive to the entire technology stack from silicon to applications, but that's how broadly applicable machine learning is.
Nara Logics builds a synaptic network of explicit and inferred connections across data so it can be used by applications.
Interview conducted by Joshua New, policy analyst at the Center for Data Innovation
"The Center for Data Innovation spoke with Jana Eggers, chief executive officer of Nara Logics, an artificial intelligence company based in Cambridge, Massachusetts. Eggers discussed the value of recommendation engines for businesses and the overlaps between neuroscience and computer science."
By Shivon Zilis and James Cham, O'Reilly, November 7, 2016
Shivon Zilis and James Cham of Bloomberg Beta have released an updated Current State of Machine Intelligence (version 3.0)
For the first time, a “one stop shop” of the machine intelligence stack is coming into view—even if it’s a year or two off from being neatly formalized. The maturing of that stack might explain why more established companies are more focused on building legitimate machine intelligence capabilities. Anyone who has their wits about them is still going to be making initial build-and-buy decisions, so we figured an early attempt at laying out these technologies is better than no attempt.
Nara Logics CEO, Jana Eggers, recently spoke at the Business Innovation Factory about Artificial Intelligence (AI).
Artificial intelligence (AI) will allow us to do things we haven’t done before, but Jana Eggers cautions against seeing AI as a mysterious or subversive force.
"AI is already woven into what we do now,” Eggers says. In the present moment, we are simply catching up to our capability: “We haven’t opened up a whole new world. When we talk about AI we tend to think it’s something magical and mystical, and it’s really just a very creative algorithm. What’s really smart is figuring out which one you need for your problem.” AI’s sophisticated data analysis gives us better information, she says, so “we can spend more time thinking about the options we have.”
By Dan Woods, Forbes, September 30, 2016
At O’Reilly’s Artificial Intelligence conference this week in New York, one message came through loud and clear, if you don’t have the data, you can’t do AI.
... Inside almost every presentation was a message about data. Jana Eggers of Nara Logics was especially insightful in her presentation about the need for a new attitude toward data. She pointed out that in most of the work we have done so far, especially in IT, the point has been to capture descriptive data. But in AI, data is the controlling aspect of the system. The data determines the training of the system. Data is more like the code than it is the asset being created.
By Davey Alba, Wired, September 15, 2016
DIEGO OPPENHEIMER IS worried that the Googles and the Facebooks will dominate the world of artificial intelligence.
It’s a legitimate worry. Elon Musk and Sam Altman are worried about the same thing. That’s why they created a startup called OpenAI. In recent years, Google and Facebook have snapped up so many researchers at the heart of the deep learning movement, an AI movement that’s rapidly reinventing everything from speech recognition to security. So, Musk and Altman grabbed several top AI researchers from Google and Facebook and vowed to share their work with the world at large.
Now, Oppenheimer and his startup, Algorithmia, are doing their part in the battle against AI hegemony. Algorithmia is what Oppenheimer calls an open marketplace for algorithms—code that companies and developers can use to beef up their websites and apps—and this marketplace now includes deep learning algorithms that handle tasks like face recognition and character recognition. Whereas OpenAI shares raw AI research, Algorithmia offers working algorithms designed to slot right into new services. “Maybe the future was already invented,” Oppenheimer says. “It’s just stuck in academic papers.”
It’s part of a much larger effort to democratize AI. Startups like Clarifai, Nara Logics, and MetaMind (now owned by Salesforce.com) also offer tools for building deep learning into any application. And giants like Google, Amazon, and Microsoft are building cloud computing services that work in similar ways.
Adam C. Uzialko, Business News Daily, September 12, 2016
AI and business today: Rather than serving as a replacement for human knowledge and ingenuity, AI is generally seen as a support tool for the humans using the technology. Although AI currently has a difficult time completing common-sense tasks in the real world, it is adept at processing and analyzing troves of data far more quickly than a human brain could. AI can then return with a number of synthesized courses of action and present them to the human user. In this way, humans can use AI to help game out possible consequences of each action and streamline the decision-making process.
Other analysts, like founder and Chief Technology Officer of Nara Logics Dr. Nathan Wilson, said they see AI on the cusp of revolutionizing familiar activities, such as driving.
"The obvious next domino to fall relates to taking a thing we do all the time that has well-defined rules — driving — and automating it," Wilson said. "In a bit more time, 'Batmobile' cars for everyone will drop you off at your destination on a rainy day and drive themselves as far as you want in search of free parking." Wilson also predicted that AI could be used by a restaurant, for example, to decide which music to play based on the interests of the guests in attendance. AI could even alter the appearance of the wallpaper design based on what the technology anticipates the aesthetic preferences of the crowd might be.
Current Science & Technology Podcast, Museum of Science, Boston
Dr. Nathan Wilson and Jana Eggers recently stopped by the Museum of Science's "Current Science and Technology Podcast" studio to explain how our brains have inspired computer learning.
Scott Kirsner, The Boston Globe, July 7, 2016
These days, not only is IBM back in Cambridge, but the enthusiasm and funding for AI companies in Boston and nationally have returned — accompanied by a whole new raft of buzzphrases suggesting that computers are getting brainier, from “deep learning” to “synaptic intelligence.”
But unlike the 1980s, when technology fresh from the academic lab stumbled out into the world looking for problems to solve, many of today’s companies are focused on specific business problems. Nara Logics of Cambridge, for instance, helps large companies anticipate whether “an event happening within your supply chain is going to become a problem — and what you can do about it,” explains chief executive Jana Eggers. The company says its software can also analyze financial transactions in real-time to spot instances of fraud that don’t necessarily fit historical patterns.
“Why is it spring now after all the AI winters?” asks Vivjan Myrto, a managing director of the Boston investment firm Hyperplane, which has put money into Spiro and Talla. “AI techniques have come of age, and you’re seeing big advances in hardware. It’s a really historic moment.”
Nathan R. Wilson, Ph.D., CTO and Co-Founder of Nara Logics, KDnuggets News, June 2016
Data science, and knowledge discovery, are among the most “brain-like” operations that a company does, and its practitioners have a unique vantage point into the utility of artificial intelligence. With the emergence of deep learning now upending AI, it is worth exploring how this powerful class of techniques relates to knowledge and understanding, using our own brain as a gold standard for how information is stored for synthesis and insight.
In Search of the Master Algorithm
Is there a general “process” by which data can be turned into knowledge, or a “rule” for learning rules? Most neuroscientists think so, and so do deep learning researchers. They comprise two search parties, looking for the self-organizing logic that is the magic key for turning data into knowledge. But both agree that there is something special about the nature of information, passed through a general structure intended to dynamically filter for veracity and novelty. Such a possibility makes it feasible to envision a true “brain” for our data, and thus knowledge at the organizational level. What will our data brain look like?
Inspired by Biology – Data Storage Will Start to Reflect the Natural World
The way we store and interact with data is already changing, and becoming more like the “connectionist” models that, after decades of falling in and out of favor in machine learning, may at last be here to stay, thus converging with neuroscience and other dominant models of information processing in the natural world (genetics, ecology and systematics, immunology, etc). Data in our machine systems are still stored in rows and columns but it is their relations to other data (which increasingly comes with weights), that define the value of each quantum. New tools, storage and programming methodologies are arising that make it possible for data to be readily connected both through better curation and recirculating automation. The dynamism that results looks less like a fixed circuit and more like an organic system.
From an evolutionary perspective, the relational structure of databases discovered in the 1970s became the early scaffold for structuring and connecting data, a true breakthrough that now underpins data storage in every industry, and whose value is only now starting to be truly appreciated. The difference between now and the future is that these connections are still binary (pointers to other tables) whereas brain structures, including those produced by deep learning, are “associational” – learning the strength of relatedness between stored concepts.
In the future, growing data trees of associations will be increasingly fused (like the unified “data lakes” that are evolving in advanced organizations). Data records will not be duplicated into many different places and fragmented, but rather different places will connect to the same record in different ways. This seems to be how biology has mastered information, with your brain maintaining a master record for each concept (such as the “Halle Berry” cells in one famous study), and this record is accessed and retrieved in many different ways from completely different brain areas (for example, seeing a picture of Halle Berry through the eyes excites the same cells as hearing the spoken name through the ears). Unified representations of course, once realized, have advantages for efficacy and maintainability.
John R. Platt, The Institute (The IEEE news source), June 13, 2016
Thousands of openings in artificial intelligence and machine learning posted on job boards are going unfilled. In fact, though AI is one of the fastest-growing areas for high-tech professionals, according to a recent Kiplinger report, there are too few qualified engineers.
“Supply is far lower than demand,” says Boris Babenko, a machine vision engineer at Orbital Insight, a company in Palo Alto, Calif., that uses AI to make sense of data gathered from satellite images. “That’s true of all software engineering, but AI is a niche on top of that.”
The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt. “If you look hard enough, any industry you can think of has a need for AI and machine learning,” says Geoff Gordon, acting head of the Machine Learning Department at Carnegie Mellon University, in Pittsburgh.
“My advice to those interested in working in AI is to network, attend events, and follow industry news closely—become part of the industry conversation,” says Jana Eggers, CEO of Nara Logics, a synaptic intelligence company in Cambridge, Mass., that combines neuroscience and computer science. “It is the best way for you to assess your fit with a company, as well as to learn of professional opportunities.”
Nathan Wilson, Nara Logics CTO & Co-Founder to present at RE•WORK Deep Learning Summit Boston 2016.
Biological Foundations for Deep Learning: Towards Decision Networks
The basic principles of intelligence have been pursued by two parallel research communities – computer scientists developing artificial intelligence, and neuroscientists exploring the brain. Recent advances, particularly in deep learning, present a key opportunity for new homologies and cross-pollination. In this talk we will discuss some of the latest learning rules discovered by each community and their surprising convergence. We will then describe how these rules can be coordinated at scale to take learning networks from perception to decisions, to help solve mature enterprise problems that are ripe for AI applications.
The AIconics are the world’s only independently judged Awards celebrating the drive, innovation and hard work in the international Artificial Intelligence Community.This year’s awards feature 5 categories, recognising industry leaders across a broad spectrum of AI technologies.These awards are an annual fixture of the world’s only event dedicated to AI for Business leaders, The AI Summit, and powered by the credibility of the dedicated news portal aibusiness.org. The Awards Presentation Ceremony takes places in the evening of the 5th of May 2016 at the Four Seasons Hotel on Park Lane, in London UK.
Nara Logics has been named a finalist for the Best AI Innovator Award, along with IAG and Creative Virtual. Read more >
Nara Logics has been selected as a finalist in the 'Best B2B Technology' category for the 20th Annual MITX Awards. Held annually by the Massachusetts Innovation & Technology Exchange, the awards recognize excellence in concepts and creations in marketing and technology produced or developed in New England.
Since 1996 the MITX Awards have grown to become the largest and most prestigious awards competition in the country showcasing the best creative marketing and technological accomplishments emerging from New England. This year over 120 senior leaders from Boston businesses judged entries for the 33 MITX award categories.
“For 20 years, MITX has been celebrating the talented and creative minds across New England -innovators that have made this the thriving technology and innovation hub it has become,” said MITX President Amy Quigley. “This year’s finalists are no exception. The ideas keep getting bigger and bolder. We are thrilled to honor their amazing achievements!”
Nara Logics will be recognized with the other finalists in the category of 'Best B2B Technology' at the 20th Annual MITX Awards Ceremony traditionally attended by over 1,000 of the region’s top marketing, technology and design professionals. Winners will be announced at the ceremony on May 25th at the Westin Waterfront. This year’s ceremony will include host, Boston legend and comedic superstar Lenny Clarke, technology demos from finalists, select final round judging, networking, and of course, the presentation of the prestigious MITX Awards. Learn more >
David Weldon, Editor-In-Chief, Information Management, April 22, 2016
Data professionals are all about speed in 2016, according to recent discussions at the Strata & Hadoop World conference in San Jose, CA. The reason: most believe they now have the proper data management frameworks in place at their organizations, and it’s time to cash in on the potential benefits.
According to Jana Eggers, CEO at Nara Logics, there is a definite fly in that ointment, however: the continued limitations caused by data silos throughout most organizations. This is causing continued frustration for data pros, who are anxious to see action from their efforts to date.
John Biggs, Technotopia, April 22, 2016
Technotopia talks to Jana Eggers, CEO of Nara Logics, a cognitive assistant to help users understand big data. She talks about the future of real AI in our lives. Listen to the Podcast >
Todd Hixon, Forbes
It has been a tough decade for tech startups (businesses driven by information and physical technologies) in Boston (1). This seems odd because Boston has enormous core strengths in tech derived from MIT, Harvard, and other universities and a long history of computer science technology development.
The good news for Boston is the surge in innovation in an area where Boston is strong: Intelligent Systems, embodied in both the cloud and physical systems at the edge of the network (i.e., robots). This wave has been building for a long time, going back to the founding of the MIT Artificial Intelligence Lab in 1959.
Retailers are looking outside their own walls for the next big thing. Competition is fierce and the stakes are high. To stay ahead, Iterate Studio co-founder Jon Nordmark says retailers must capitalize on existing strengths, stay open to new ideas and be nimble enough to act quickly.
Nordmark’s company is “a global ‘speed dating’ platform for enterprises and startups,” a sort of innovation marketplace where larger companies can partner with pioneers in emerging technologies like deep learning, robotics, 3D printing and drones.
Here’s a look at the startups that pitched retail executives at NRFtech’s inaugural “Tour of the Possible” in San Francisco.
"Summoning the demon: My perspective from the belly of the beast of AI"
Jana Eggers has been in and around the field of artificial intelligence for more than 25 years, which gives her a unique perspective on what's been accomplished in AI and what we're still missing.
See Jana's Startupfest keynote talk, "The state of the art in demon summoning, a.k.a. Artificial Intelligence," from the summer of 2015.
Today, the most frequent AI question Jana gets, is whether Elon Musk is right: are we summoning the demons with AI? She'll share with you a sorted version of machine intelligence to help you decide for yourself. She admits it will not be the sordid version of AI presented by people she respects greatly, like Mr. Musk, Mr. Hawking, and Mr. Gates. You'll learn the current state of machine learning, the players and their tribes, what's possible today and a bit into the future, and where she worries and where not, from the perspective of someone who considers daily if she is, indeed, in the belly of the beast.
Jana Eggers is CEO of Nara Logics, an artificial intelligence company based in Cambridge, with a focus on turning big data into smart actions. She will be speaking at @ HUBweek collaborator, the RIC’s Female Founders event on Tuesday, March 22.
You joined Nara Logics about a year and a half ago. What major factors were behind your decision to join the team?
As my career in software had progressed, I had gotten further from my scientific roots, as a mathematician who had worked in both life and physical sciences as well as computer science. I had a recruiter call me for a reference one day and being a great recruiter, he asked me what my dream job would be. I quipped that I had always said when I “retired” I would go back to Los Alamos and work on tech transfer, because I missed the depth of work in the sciences, so I was wondering if I had to wait for that, and if I could find job that had that combination. We laughed at my pipe dream, and then laughed again when he called me a few months later and said, “I have the perfect job for you. Neuroscience enough science for you?” So that’s the beginning of the story.
Most of the Artificial Intelligence recommendation engines are based on clustering algorithms and a limited number of parameters. Nara Logics is pushing the envelope on releasing both constraints, and going to a more granular level of personalisation.
Read more >
AIBusiness.org recently met the energetic team of AI start up Nara Logics, at the headquarters at Cambridge, MA USA. Nara is one of most promising players in field of Neural Networks; their CEO Jana Eggers, joined Nara’s CTO Nathan Wilson and Marketing Lead Sean Lorenz in sharing unique insights on the future of the industry and growth plans for their business. Read more >
Watch Jana Eggers' well-received keynote "When AI joins the team: Onboarding the next generation of employees" from Strata + Hadoop World Singapore. In her talk, Jana looks at what it takes to get started with machine learning projects...and why robots need poop detection sensors!
See Jana Eggers and Nathan Wilson visually demonstrate Nara Logics' synaptic intelligence platform at a Live Quark session at Constellation's Connected Enterprise in November 2015. The goal - help organizations connect their data and customers more meaningfully by leveraging relevant data across multiple lines of business, with the goal of making the customer experience simpler, cleaner and more personal.
Artificial intelligence has been having a heyday lately, with open letters and warnings from Elon Musk, Stephen Hawking and other household technology names; and large acquisitions and investments to further the industry’s development. With all this activity, the question of how we develop AI and in what context is something we must not take lightly. Read more >
Spielberg meets Jane Austen? In a way, yes. But this is about an algorithm that uses next-generation artificial intelligence to ‘matchmake’ people’s interests and offer them deeply personalised recommendations, making online search for products and services much easier. In sum, the algorithm replaces your brain, to exaggerate a bit. Read more >
The key to Nara’s technology is personalization, Wilson says. Nara is essentially a matchmaking system that finds and understands entities in any data set, from people and places to businesses and abstract concepts, then builds a massive knowledge graph that shows weighted links between those entities. Wilson says Nara inserts users right into that knowledge graph to offer personalized recommendations. Knowing a bit about the user is what allows Nara to light up other things they might like. And the system can scrape public databases to enhance its knowledge. Read more >
One of the leaders in computational neuroscience is taking a role with Nara Logics, a Cambridge, MA, spinout from MIT that marries advanced brain-science research with computer science to create enterprise software capable of making big data manageable. Read more >
Nara Logics, a Cambridge-based developer of an artificial intelligence recommendation engine, announced today that it has expanded its AI-driven data analysis services to the financial and banking industries. Read more >
There’s a pragmatic approach to the great artificial intelligence debate, one that responsibly answers both the trepidations and aspirations of top scientists and technologists in this field. Read more >
Silicon Valley loves a new fad. To judge by the spate of fundraising by start-ups in recent weeks, it has found one in an idea that is more than half a century old: artificial intelligence. Read more >
Moe and Jana Eggers meet up at the Lean Startup Conference 2014 to talk about Nara, the personalization engine saving the world from an overwhelming ocean of data.
Many technology companies are now focused on a new kind of method for making sense of data: artificial intelligence, machine learning, deep learning, natural language processing, and others. This machine intelligence world has recently exploded and is transforming existing industries and also likely creating entirely new ones. Read more >
A small cluster of restaurants are connected to the majority of the other restaurants in cities like New York and San Francisco. Read more >