Ishan Manaktala is the Chief Executive Officer at Symphony AyasdiAI. Ishan has two decades of experience in capital markets that has encompassed the buy side, sell side and financial technology landscape. Ishan led product development teams at Deutsche Bank for the High Frequency and Algorithm Trading Platforms. He was COO at CoreOne Technologies, a Symphony Technology Group company which was acquired by IHSMarkit, where Ishan was the Managing Director and part of their Management Committee. Ishan holds graduate degrees from Columbia Business School and London Business School.
Last week, we officially launched the new direction of our company, now called Symphony AyasdiAI, and
Gurjeet Singh is Symphony AyasdiAI's Chief AI Officer and co-founder. He leads a technology movement that emphasizes the importance of extracting insight from data, not just storing and organizing it.
Gurjeet developed key mathematical and machine learning algorithms for Topological Data Analysis (TDA) and their applications during his tenure as a graduate student in Stanford’s Mathematics Department where he was advised by Symphony AyasdiAI co-founder Prof. Gunnar Carlsson.
Gurjeet is the author of numerous patents and has published in a variety of top mathematics and computer science journals. Before starting Symphony AyasdiAI, he worked at Google and Texas Instruments.
Dr. Singh serves on the Technology Advisory Board at HSBC and on the U.S. Commodity Futures Trading Commission’s Technology Advisory Committee. He was named to the Silicon Valley Business Journal’s “40 Under 40” list in 2015.
Gurjeet holds a B.Tech. from Delhi University, and a Ph.D. in Computational Mathematics from Stanford University. He lives in Palo Alto with his wife and two children and develops multi-legged robots in his spare time.
The future of all business operations fundamentally relies on utilizing AI and Machine Learning technologiesThe Extinction Event in SoftwareMarch 1, 2018
While the much of discussion around AI deals with the societal implications of this transformative technology,
Jennifer Kloke is the Chief Technology Officer at Symphony AyasdiAI and has been with the company since its inception. Throughout Jennifer's tenure at Symphony AyasdiAI, she has led the efforts to automate and expand the insights and impacts possible with data. She has served as the lead for the Symphony AyasdiAI data science efforts for government services as well as the algorithmic side of the engineering team.
Jennifer earned her Ph.D. in Mathematics from Stanford University where she was advised by Dr. Gunnar Carlsson and published her dissertation on "Topological De-Noising: Strengthening the Topological Signal." Jennifer received her undergraduate degree in mathematics from Texas A&M University.
She is the author on several patents and has published in the Journal of Differential Geometry.
Jennifer is married with 3 young children, and when not solving problems, can be found quilting and gardening.
Peter has over two decades enabling technology companies to grow and scale on their way to successful exits. He has deep experience in strategic planning, budgeting, analytics, and fundraising. And he is passionate about driving high growth metrics while also improving operating efficiency. Prior to joining Ayasdi, Peter held senior finance and operating roles at several technology companies including Broadvision, Deem, nComputing, Siperian, and Xeeva. Peter earned his BA and MBA from the University of California, Berkeley. He is also a Chartered Financial Analyst (CFA). Peter enjoys mountain biking, skiing, all Bay Area sports teams and hanging out with his family.
Ajith Warrier is responsible for conceptualizing and realizing Symphony AyasdiAI's product vision and for facilitating its adoption by customers. Previously, Ajith Warrier was the VP of Data Science where he had technical oversight and management of a team of data scientists in the financial services, healthcare, and federal spaces. He has multiple years of experience in various Data Science, Engineering, and Product roles at Symphony AyasdiAI.
Ajith earned his Ph.D. in Neuroscience from UC, Davis and has previously held postdoctoral fellowships at UC, Berkeley, and UCSF.
Our position is pretty clear - we believe that every application will become an intelligent applicationTransforming Before Your Eyes - New Transformation ServicesAugust 1, 2018
Intelligent applications are only as valuable as the data they act upon. Cleansing, merging and combining
David is the VP of Customer Success at Symphony AyasdiAI. He has worked in the Financial Services arena for the past 30 years. Prior to joining Symphony AyasdiAI, he was a Sr. Director and Head of the N.A. Financial Crimes Practice for Capgemini. He has managed Professional Services organizations for a few different solutions companies, including NICE Actimize, Fortent, and Oracle Mantas. Prior to working at these solutions companies, David spent several years as a VP at Merrill Lynch within their Securities Services Division and was a Compliance Officer at a few international banks with operations in NY. David has a Bachelors Degree in Economics from the City University of New York at Queens College.
The view of customer risk you have today is not reflective of the actual risk they pose to your firm.
Gunnar Carlsson is the advisor and co-founder of Symphony AyasdiAI. Gunnar is one of the most renowned mathematicians in the world. He has an undergraduate degree from Harvard University and a doctorate from Stanford, where he was Chair of the Department of Mathematics from 1995 - 1998.
Over the past 35 years, Gunnar has taught at the University of Chicago, University of California, Princeton University, and since 1991, Gunnar has been a professor of mathematics at Stanford University, where he has been a thought leader in a branch of mathematics called topology, the study of shape. In the theoretical sense, topology has been around since the 1700s, but Gunnar pioneered the applied use of topology to solve complex real-world problems starting in the late 1990s. In the early 2000s, this work led to $10M in research grants from the National Science Foundation (NSF) and DARPA to study the application of Topological Data Analysis (TDA) to problems of interest within the U.S. government. In 2008, based on the success of these efforts, Gunnar, along with two other Stanford mathematicians, co-founded Ayasdi.
Gunnar is married, has 3 grown boys including two sons who are mathematicians and live in Palo Alto.
In their very provocative paper, Peter Battaglia and his colleagues, posit that in order for artificialWhy Prediction Needs Unsupervised LearningNovember 6, 2018
The appeal of forecasting the future is very easy to understand, even though it is not realizable. That
Harlan Sexton is an advisor and co-founder of Symphony AyasdiAI.
In 2004, after more than 20 years in applied research and software development, he joined Gunnar Carlsson to work on the DARPA TDA project to apply topology to real world problems. Before this, Harlan spent a decade at Oracle where he was part of the five-person team that implemented a Java Virtual Machine (JVM) for the Oracle RDBMS. One of the innovations in the Oracle JVM was a production-quality stack-conservative garbage collector that allowed tight integration between Java and the database. Parts of the code he wrote there still run hundreds of millions times per day, as Oracle databases carry out routine financial and retail transactions throughout the world. Earlier in his career, Harlan worked at Lucid, where he took the lead on Lisp performance and interoperability and wrote an incremental C/C++ linker that was later deployed by Sun Microsystems, and at Object Design, where he was an architect and implementer of an object-oriented database for Smalltalk.
Harlan received his Ph.D. in Mathematics from Stanford University, and owns more than 30 software patents. He also has a B.S. in Mathematics from Ohio State, is married with 2 grown children, and when not inventing things, enjoys the game of golf.
One of my favorite things about Topological Data Analysis (TDA) is how malleable it is, because itsHow TDA and Machine Learning Enhance Each OtherSeptember 24, 2015
People new to topological data analysis (TDA) often ask me some form of the question, "What's the difference