LTI Colloquium Presentation
Eric Nyberg, Professor, Language Technologies Institute
The development of IBM Watson and its success in the 2011 Jeopardy! Challenge led to a renewed emphasis on QA research and development, across a broad range of application domains and data sets. This talk presents an overview of the Open Advancement of Question Answering (OAQA) consortium and its recent contributions to QA research, including the development of QA for Bioinformatics (BioQA, QUADS, BioASQ), real-time QA for web users (LiveQA), and language technology for AI and Law (LUIMA). The presentation will also explore the rise of AI agents (Watson, Siri, Cortana, Alexa), their impact on public perceptions of AI, and implications for current and future research.
Noted for his contributions to the fields of automatic text translation, information retrieval, and automatic question answering, Nyberg received his Ph.D. from Carnegie Mellon University (1992), and his B.A. from Boston University (1983). In 2012, Nyberg received the Allen Newell Award for Research Excellence for his scientific contributions to the field of question answering and his work as an original developer on the Watson project. He received the BU Computer Science Distinguished Alumna/Alumnus Award on September 27, 2013. Nyberg currently serves as Director of the Master of Computational Data Science (MCDS) degree program, and is co-Founder and Chief Data Scientist at Cognistx.
|When:||Thursday, September 21, 2017 – 7:30am|
|Where:||Omni William Penn Hotel|
|Time:||7:30 a.m. Registration & Breakfast, 8:00 a.m. Program|
NAIOP Members – Complimentary
Non-Members – $40.00
|Topic:||Cybersecurity & Artificial Intelligence |
The Impact on Commercial Real Estate
|Speaker:|| Sanjay Chopra|
Co-Founder and CEO, Cognistx
RSVP REQUIRED – NO SHOWS WILL BE CHARGED Cancelations 48 hours prior Invoice will be sent for online payment or make check payable to and mail to NAIOP Pittsburgh Chapter Rosslyn Commons 333 Baldwin Road, Pittsburgh, PA 15205
Young company with close ties to CMU counts PPG, Monro Muffler and Pittsburgh Steelers among its customers.
An artificial intelligence startup whose clients include PPG, Monro Muffler Brake Inc. and the Pittsburgh Steelers is moving its headquarters from Gibsonia to downtown Pittsburgh on Monday.
Cognistx is setting up shop at 606 Liberty Ave., said CEO Sanjay Chopra. The office is focused on data science and product management, and the two-year-old company builds adaptive, multistrategy AI systems for clients in widespread industries. Cognistx employs seven locally and expects to add at least two posts in the next few months.”Downtown happens to be the one central location for everyone,” Chopra said. “The space is such that we can grow into it easily, and we’re in the same building as Kroll, a client of six months.”
Cognistx also added an office in Winston-Salem, N.C.’s Innovation Quarter last year, where its user interface and user experience operations are based. It expects to employ 25 there by next April.
The company’s technical leadership team is in Pittsburgh. That includes Chopra, Eric Nyberg and Florian Metze. Chopra is a repeat entrepreneur, adjunct professor at Carnegie Mellon University and a former director of digital commerce at Giant Eagle Inc.Nyberg, a CMU computer science professor, had consulted with IBM on the Watson project, the supercomputer that won on “Jeopardy!” five years ago. Metze serves on the research faculty at CMU’s Language Technologies Institute in automatic speech recognition, multimedia processing, semantic computing, and user interfaces. Cognistx’s first product, an app enabling Monro to make extremely customized offers to clients, launched in May 2016.
PITTSBURGH | June 27, 2017 — Carnegie Mellon University’s School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school’s work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world.
“For AI to reach greater levels of sophistication, experts in each aspect of AI, such as how computers understand the way people talk or how computers can learn and improve with experience, will increasingly need to work in close collaboration,” said SCS Dean Andrew Moore. “CMU AI provides a framework for our ongoing AI research and education.”
From self-driving cars to smart homes, AI is poised to change the way people live, work and learn, Moore said.
“AI is no longer something that a lone genius invents in the garage,” Moore added. “It requires a team of people, each of whom brings a special expertise or perspective. CMU researchers have always excelled at collaboration across disciplines, and CMU AI will enable all of us to work together in unprecedented ways.”
Pittsburgh PA | June 6 – Video of Cognistx CEO Sanjay Chopra’s recent TED talk at TEDxYouth@Shadyside ‘A Cognitive Journey: Application of AI to Business Problems’
Chicago, IL | May 30 — Catch Cognistx at CRMC with Monro Muffler Brake and RedPoint Global Thursday, June 8 at 11:10am, at the Hilton Chicago Grand Ballroom – 2nd Floor. Our very own Dr. Eric Nyberg, Chief Data Scientist and Professor at Carnegie Mellon University’s School of Computer Science, will be co-presenting at this exciting event. He’ll discuss Next Generation Customer Engagement through Artificial Intelligence and New Advancements in Retail Marketing Technology.
More Information: https://www.thecrmc.com/
Good Stuff from Sanjay v2.0 — I’m Sanjay Chopra, Co-Founder and CEO of Cognistx. Welcome to Cognistx’s second installment of Good Stuff from Sanjay, series, where we dive into a topic each month that’s top-of-mind for me (and our company). Hopefully, this will become a resource for you as well, as you look to AI (with Cognistx as your go-to AI partner) to solve for your company’s specific business problems.
For this month’s Good Stuff series, I wanted to discuss some thoughts on how AI can be a great solution for businesses within the manufacturing industry, as well as share a few updates regarding a project we’re working on with PPG:
First up, a few ways AI can use data to help solve for common hurdles within manufacturing:
Knowledge Retention: Employees with decades of valuable experience are retiring from the workforce, and their critical knowledge has not been saved or codified. AI tools can be used to codify that expert knowledge and distribute it across sites so it can be leveraged company-wide.
- Simulations: capture expertise and use it to train new skills
- Testing: virtually test workers in safe environments and with less time and offer remote training
Production Decision Making: Manufactured items are more complex than ever, and they require hundreds of people, dozens of supplies, thousands of pieces, and countless decisions. Consumer demand and competition means just-in-time manufacturing, faster design improvements, and global sourcing. That’s where AI can swoop in to save the day, offering:
- Intelligent Information Retrieval: reduce information overload by finding relevant information addressing the current need of the individual
- Automated Data Collection: diminish the effort in collecting information such as pricing, availability, standards, and timing, so decision-making can happen quickly and with confidence
- Scheduling and Coordination: coordinate multiple suppliers to reduce delays, inventory, reduce costs
- Automated, Real-time Projections: make manufacturing and logistics more efficient than ever by allowing proactive risk management
Design Research: Creating new products is an expensive process, and one that often results in them falling flat. With thousands of specifications, regulations, and customer insights to navigate, information can be hard to quantify and share company-wide. Let AI help with this tricky process by introducing:
- Customer Insight: mine product tests and specifications to provide insight from previous design research
- Regulation Changes: traverse regulations and identify areas that need to be edited to address updates
- Simulations/Prototyping: simulate scenarios and use cases to gather feedback efficiently
Product Support: Manufacturing and just-in-time delivery means people can customize their products, which is great for the end user but often causes headaches on the manufacturing side. Bring AI into the mix to provide:
- Configuration Support: identify how a product would need to be altered to meet the customer’s order, knowing that computers will achieve this more efficiently than humans
- Efficient Warehousing: use vision and indoor positions to aid robots in warehouses
We’ve loved getting to partner with PPG to optimize a portion of their manufacturing process as they work to save money and time in their paint production. For them, any marginal improvement in the paint formulation or adjustments process means thousands of dollars in savings.
Interested in learning more about how we can help you meet your manufacturing business goals? Get in touch with us today by contacting Jill Zoria, our SVP of Enterprise Development. Or request a consultation and one of our team members will reach out to you.
Winston-Salem, NC | March 6 — That’s right, we at Cognistx firmly believe that cognitive computing should be on the radar of any forward-looking business (and that’s not just because we happen to build artificial intelligence technology!). It’s because we’ve seen the value of this technology up close – and we don’t want you to miss out on its game-changing potential.
Let’s start by breaking down cognitive computing a bit, though. After all, you’ve probably heard the terms “cognitive computing,” “machine learning,” “big data,” and “artificial intelligence,” or “AI,” thrown around a lot by now, but if you’re a business professional you might be looking to better understand how the technology that powers IBM’s Watson or Amazon’s Alexa can help you from a business standpoint.
In reality, the answer is: AI can help you solve for just about any business problem as long as there is the right kind of data to learn from.
You see, AI feeds off of big data and your category knowledge, and uses that information to help you gain efficiencies, understand consumer behavior, individualize retail offers, increase the value of your database, and so much more. You should be asking, “Which of my business problems can be solved with AI?” (And we’d love to help you answer that question!)
Cognistx wants to be sure businesses understand AI so they can stay ahead – and we’re here to help you jump into the cognitive computing game with complete confidence. To help with that process, we’ve reduced cognitive computing to a set of best practices, and have set ourselves up to help you solve real-world business problems regardless of the industry you’re in.
In the healthcare business? AI can help you track effectiveness of care with more reliability, helping reduce your re-admission numbers.
Are you a supplier? AI is great at helping you divert resources when inventory needs change at the last minute.
Is retail your game? Cognitive computing can individualize offers for customers and learn their specific behaviors, getting them to a conversion quickly based on their habits.
Whatever your industry, AI is relevant. It’s time to pay attention to those buzzwords floating around out there – and to realize it’s about far more than just technology. It’s about relationships with consumers. It’s about peace of mind for business leaders. It’s about staying ahead of the curve among your competitive set.
We’d love to set up time to talk to you about how your company can partner with Cognistx to help solve your most perplexing business problems. Get in touch with us today by contacting Jill Zoria, our SVP of Enterprise Development. Or request a consultation and one of our team members will get in touch!
Winston-Salem, NC | February 23 — Not too long ago, the concept of Artificial Intelligence existed only in Sci-Fi books and movies. Then, all of a sudden, it seemed, this once fictional technology became a reality.
But still, it felt distant. AI was high-profile, expensive tech, relegated to mammoth industry leaders like IBM.
Cognistx is out to change that model. Our mission? Democratizing AI.
We want to make this technology available to the masses — because it’s RELEVANT to the masses. It’s industry agnostic and able to be applied in countless forms depending on what questions you’re trying to answer or which issues you’re trying to solve. This isn’t just technology for technology’s sake.
At Cognistx, we’re different because we’re fast, efficient, and have crafted flexible pricing models to allow us to work with companies of virtually any size or budget level. We do great work with a stellar team, and we’re able to scale things up or down depending on how much money and time your company has to allocate to this form of technology. We are obsessed with AI and want to share its magic with as many company partners as we can.
AI (also known as “cognitive computing”) is a good fit for any company that collects data. Got data? Let’s talk.
“By providing fast, effective ways to develop intelligent analytics from customer data, Cognistx makes it possible for small to mid-sized companies to leverage big data,” said Eric Nyberg, Co-Founder and Chief Data Scientist at Cognistx. (Fun fact: Eric was the lead academic researcher behind IBM’s Watson)
Cognitive computing helps take your data to the next level, and it automatically gets smarter the more it’s used and the more feedback it receives from humans.
For example, if you’re a retail company sending out offers to consumers, AI can help you start to hone your approach for each individual shopper. Consumer A might continually decline a $10 discount but regularly accept a $15 one. What would happen if we instead offered that person a $12 discount and they began to bite at that level? (You just saved yourself $3, retailer.) That’s the beauty of AI — it gathers and learns this information and can start to customize offers to bring in the best results for your bottom line.
For non-retailers, cognitive computing can complement the work humans are currently doing to help increase your company’s efficiencies, reach, and reliability. For example, AI is ideal for warehouse optimization, and can be put in place to create customized pulling/order processing plans printed daily for each employee. These plans would take into account employees’ individual speeds and other factors to make things move more smoothly and allow employees to have a daily customized game plan that works well with their approach. You wouldn’t just gain efficiency at the front end, either, as you’d be able to continuously gather data on ongoing performance, speed, etc.
We’re thrilled AI technology has reached a point that it can be a viable option for any business across several industries, and Cognistx is dead set on making sure as many companies as possible not only know about AI but know how it can work for them. Welcome to the cognitive era!
Good Stuff from Sanjay v1.0 — I’m Sanjay Chopra, Co-Founder and CEO of Cognistx. Welcome to Cognistx’s Good Stuff from Sanjay* series, where we dive into a topic each month that’s top-of-mind for me (and our company). Hopefully, this will become a resource for you as well, as you look to AI (with Cognistx as your go-to AI partner) to solve for your company’s specific business problems.
For this month’s Good Stuff series, I’d like to touch on what our focus is here at Cognistx and what makes us different. We’re proud of the way we’ve intentionally set up our business to make us unique within the AI space.
*The name for this monthly series — Good Stuff from Sanjay — was born when I was brainstorming potential options with some colleagues. They pointed out that I have a catchphrase that I use pretty frequently. That phrase? You guessed it. “Good stuff!” (Nothing like having a team that knows you better than you know yourself!)
Our focus at Cognistx continues to be taking our clients’ apps and systems and making them even smarter and more efficient.
- #SmartDataIngestion: We make those apps and systems smarter by deeply immersing ourselves in and learning to truly understand our clients’ data.
- #SmartDataFit and #DeepQA: We then apply the right AI models based on the data and the QA (Question Answer) needs we learn from our clients.
- #SmartCogs: Once we have the models trained, we’re ready to apply them, starting to get to the heart of answering our clients’ questions and business needs/goals.
Our models — which are self-learning and get smarter the longer they’re in place — use clients’ data as a foundation, and are able to answer countless questions for our clients, such as:
- “Which customers are likely to defect?”
- “Is this customer loyal?”
- “When and what offer to present to a customer to keep them engaged?”
- “Will this manufacturing job run result in the desired output?”
- “How likely is this customer to try our new offering?”
- “Will this new product be a big hit in the market?”
- “What are the optimal promotions to keep our customers engaged?”
- “Where does this new file fit into our big data cluster?”
- “What is the biggest risk for this patient as he/she is discharged?”
- “Is this transaction fraudulent?”
- “What is the risk associated with underwriting this insurance?”
We have other areas of expertise that help keep us ahead within the cognitive computing space:
- Our speech interfaces make it easy for customers to interact with clients’ apps and our tech knowledge.
- We hold strong expertise in DeepQA, Speech, Videos, and Really Big Data Analysis, making for even more user-friendly and customizable AI solutions.
- Cognistx’s strong partnership with Carnegie Mellon University — a leader in the AI space since the field was invented in the 1950s — keeps us ahead of the curve when it comes to trends and know-how within the industry.
If you’re looking to solve business problems and think Cognistx — through the use of cognitive computing — could be a good way to go about it, please reach out to us to set up a conversation. We’d love to hear from you and to start brainstorming ways to leverage your data to really move the needle for your business!