Where to find me during Think 2019

Are you attending Think 2019 in San Francisco?  There's still time to register if you haven't already!  The conference officially kicks off Tuesday afternoon and you can see my earlier post on Planning for Think if you need a wider overview of the conference.  This post is to show you where I am planning to be and letting you see exactly what sessions have piqued my interest.

First a note: I often have multiple sessions in a single time slot.  This is because as an IBMer it seems only polite that I ensure a customer can attend a session if the room starts to fill up.  Therefore, I try to plan 3 or more sessions for every time slot so I can simply choose a less full room to attend.  This is also useful if I end up in a different location than I originally planned due to a client meeting and want to see a session that's nearby and simply drop in.  So, if you're using this to track me down in SanFran, it would probably be easier to text me.  For the same reason, you will not find any "Hands On" or "Lab" sessions on this list.  Those require an advance sign up and I want to ensure our clients get the maximum time with our coolest stuff.  Also, while I have signed up for a Run/Walk session, I may end up skipping it if the normal Conference walking is enough of a workout.

Without any further ado, here is the official (current) Chip Van Alstyne Think 2019 Agenda:

IBM Think | February 12 – 15 | San Francisco, CA

Wellbeing Runs/Walks

Tuesday, Feb 12, 2019 | 6:30 AM - 8:00 AM | Yerba Buena Gardens Fountain | Session ID: 7732A

At Think, take time to focus on mind and body starting with a morning walk or run. The group will gather at Think Park to begin with a warmup at 6:30 am, followed by a walk or run, and finishing with a refreshing cool-down. Start your day off on a positive note and receive tips and guidance from the expert!


Jacqueline Lee, EXOS

Access the Future Today: Quantum Computing

Tuesday, Feb 12, 2019 | 12:30 PM - 1:10 PM | Forum - SATELLITE VIEWING | Session ID: 7507B

Quantum computing takes advantage of the laws of quantum mechanics found in nature and represents a fundamental change from classical information processing. For two years now, IBM has enabled more than 100,000 people around the globe to access quantum computers for learning, research, and tackling new problems. While still early, we believe it’s just a matter of time until we start using these devices to solve certain problems better than we can today. IBM’s Dario Gil will discuss this radically different approach to computing built on the laws of quantum mechanics and how the roadmap for mainstream adoption of this new technology is being forged today by IBM in collaboration with a global community across business, academia and research.


Dr. Dario Gil, IBM
Ben Boeser, Daimler, Mercedes-Benz

Reaching Straight to Mars and Beyond

Tuesday, Feb 12, 2019 | 1:30 PM - 2:10 PM | Park Theater | Session ID: 6943A

Aspiring scientist, engineer and astronaut, Taylor Richardson, is not your typical teenager. She first attended NASA Space Camp at the age of nine, where she earned the title of Astronaut StarBright. Since that time she has grown her passion to learn and her love for space, “I see me on Mars and I know my possibilities are limitless! Period.”


Taylor Richardson, Astronaut StarBright

Think 2019 Chairman's Address: Building Smarter Businesses

Tuesday, Feb 12, 2019 | 3:30 PM - 5:00 PM | Moscone West Level 2 Ballroom | Session ID: 6920A

Join IBM Chairman, President and CEO, Ginni Rometty, and some of the world’s top CEOs and leaders who are leveraging innovative technologies to architect transformation and change work, change business, and change the world.


Ginni Rometty, IBM
John Donovan, AT&T Communications
Jim Whitehurst, Red Hat
Bernard Tyson, Kaiser Permanente
Ted Chung, Hyundai Card Co., Ltd
Greg Kalinsky, Geico

Think Campus Grand Opening and Welcome

Tuesday, Feb 12, 2019 | 5:00 PM - 7:30 PM | Think Campus | Session ID: 7664A

You won't want to miss the grand opening of the Think 2019 Campus. Take this opportunity to network and preview the latest industry solutions, technology, partnerships and exhibits on hand. Join us for the festivities, and enjoy hors d’oeuvres and beverages.

Experience IBM Cloud Private for Data

Wednesday, Feb 13, 2019 | 8:30 AM - 9:10 AM | Data & AI Think Tank D | Session ID: 7512A

Here’s your chance to test-drive IBM Cloud Private for Data!  Stop by anytime during this two-hour block for the opportunity to work one-on-one with a product expert to experience IBM Cloud Private for Data and get all of your questions answered.


Sriram Srinivasan, IBM

Cloud-Native Master Data Management Collaborative Edition: A Case Study

Wednesday, Feb 13, 2019 | 8:30 AM - 9:10 AM | Theatre 4 | Session ID: 3969A

Persistent Systems, an IBM Business Partner, has created a containerized offering for IBM Master Data Management Collaboration Edition (MDM CE) server deployment with cloud-native support. This offering can be targeted to new and existing customers for seamless integration with both public IBM Cloud and IBM Cloud Private. In this session, we will discuss how Persistent Systems created this cloud-native MDM CE as a service offering after understanding the challenges facing customers. The offering provides the deployment patterns and seamless experience across both IBM Cloud and IBM Cloud Private, featuring near-zero downtime with in-place upgrades and rollbacks, instant scale-out for deployments, self-healing, and more.


Swapnil Kulkarni, Persistent Systems
Jaidev Karanth, Persistent Systems

IBM's Transformation into an AI Enterprise

Wednesday, Feb 13, 2019 | 9:30 AM - 10:10 AM | Room 304 | Session ID: 5166A

The IBM enterprise data lake consists of massive scale ingestion, storage, governance, cataloging and data consumption technologies. We combine this with a data science platform that enables massive scale development of machine learning and deep learning models, using both IBM technologies like SPSS and Watson ML and open source tools like Python, Spark and R on both CPUs and GPUs. This presentation will deep-dive into the interoperation of the platform technologies, along with several AI-driven solutions we have deployed on it. Attendees will learn how our approach can benefit their enterprises, as well as how to achieve those benefits using IBM Watson Cloud and Platform Data and AI services.


John Boyer, IBM
Nick Kadochnikov, IBM

IBM Research Science Slam: Predicting 5 Innovations to Help Change Our Lives in the Next 5 Years

Wednesday, Feb 13, 2019 | 10:00 AM - 11:00 AM | Moscone West Level 2 Ballroom | Session ID: 6921A

Our mission at IBM is to help our clients change the way the world works. There’s no better example of that than IBM Research’s annual “5 in 5” technology predictions. Each year, we showcase some of the biggest breakthroughs coming out of IBM Research’s global labs –five technologies that we believe will fundamentally reshape business and society in the next five years. This innovation is informed by research taking place at IBM Labs, leading edge work with our clients, and trends we see in the tech/business landscape. Presented via a 'Science Slam' - our researchers will share their work and predictions through compelling, personal narratives that bring the technology out of the labs and into everyday life - in under five minutes each.


Geraud Dubois, IBM
Arvind Krishna, IBM
Jeannette M. Garcia, IBM
Donna N. Dillenberger, IBM
Juliet Mutahi, IBM
Sriram Raghavan, IBM

AI in BI: Augmented Intelligence in IBM Cognos Analytics

Wednesday, Feb 13, 2019 | 10:30 AM - 11:10 AM | San Francisco Ballroom 213 | Session ID: 6597A

This session will walk you through the AI architecture built into IBM Cognos Analytics. Learn how machine learning (ML), natural language processing (NLP), ontologies and other cognitive capabilities improve the user experience in Cognos Analytics. You’ll understand how traditional steps in the business intelligence (BI) process are now automated. You’ll also discover how the AI in Cognos Analytics offers another perspective in making unbiased data-discovery a reality.


Jason Tavoularis, IBM

Using IBM Watson Explorer's Machine Learning Technology for Thermal Power Plant Maintenance

Wednesday, Feb 13, 2019 | 10:30 AM - 11:10 AM | Theatre 4 | Session ID: 2775A

Hear about how a Japanese electric co-op used IBM Watson Explorer (WEX) for analytics on accumulated maintenance data at a thermal power plant. They created a system to improve their maintenance work by using WEX Labeler and Ranker functions as a machine learning technology. Now their maintenance workers can get predicted troubleshooting methods and causes as soon as they input abnormal situations into the system. Based on results, they plan to roll out the system globally.


Hiroshi Kuwahara, Kansai Electric Power Co., Inc.

IBM and Looker: Building a New Path to Data-Driven Success

Wednesday, Feb 13, 2019 | 11:30 AM - 12:10 PM | San Francisco Ballroom 216 | Session ID: 3850A

IBM and Looker needed a way to help customers find, use and publish data for collaboration organization-wide, while also providing the ability to collaboratively build, deploy, and operationalize machine learning models. By integrating Looker into Watson Knowledge Catalog and Watson Studio, we enabled users to easily leverage Looker data assets in notebooks and ML models. Customers now enjoy an even greater level of control over their Looker data sources with governed data access capabilities. Catalog customers have access to Looker dashboards, providing a sophisticated data exploration layer within Catalog. Come learn how learn how IBM and Looker can help your enterprise capture the value of AI and operationalize ML.


Sam Harkness, Looker

Accelerating the Journey to AI

Wednesday, Feb 13, 2019 | 11:30 AM - 12:10 PM | Think Theater | Session ID: 6922A

Organizations recognize data is what fuels digital transformation, and are looking for new ways to unlock the value of their data and accelerate their journey to AI. That is why 80% of them view AI as a strategic opportunity.  Yet, only 19% of organizations understand the data required for AI. Successful organizations apply a prescriptive approach to climbing the ladder to AI, based on a unified architecture that delivers everything they need for enterprise AI, on any cloud.  In this session, hear Chief Data Officers and Chief Innovation Officers share a behind-the-scenes look at their approach to managing the full lifecycle of AI, and the essential lessons learned on their journey to drive smarter decisions throughout the organizations.


Jack McCarthy, The State of NJ Judiciary
Arvind Krishna, IBM
Robert Thomas, IBM
Dr. Dario Gil, IBM
Laurent Prudhon, Credit Mutuel
Reena Ganga, IBM
Guy Taylor, Nedbank
Kelly Combs, KPMG LLP

Five Critical Approaches to Operationalizing Text and Content Analytics

Wednesday, Feb 13, 2019 | 11:30 AM - 12:10 PM | San Francisco Ballroom 214 | Session ID: 6953A

How can novice and expert data scientists extend their analysis into unstructured data? Join Yutaka Moriya, Offering Manager for Watson Explorer, as he introduces WEX for Watson Studio, which integrates Watson Explorer’s powerful text and content mining capabilities into the Watson Studio platform.


Kevin D. Brown, IBM
Yutaka Moriya, IBM

Enterprise Meets Open Source: IBM Tools for Collaborative Data Science

Wednesday, Feb 13, 2019 | 12:30 PM - 1:10 PM | Theatre 4 | Session ID: 3675A

IBM offers a consistent set of enterprise-strength data science tools that provide the best of open source technologies in a flexible, service-based architecture. Public, private, and hybrid cloud installations mean that enterprises can build and deploy consistent applications in whichever environment is most suitable. IBM Watson Studio, IBM Watson Studio Local and IBM Cloud Private for Data allow teams to collaborate using advanced algorithms in a flexible, scalable, service-based architecture. Data integrity and governance, security and privacy requirements are integral to the tools. This session will include an overview and demonstration of these tools on specific use cases.


Cheryl Howard, IBM
Jeff Rein, IBM

The Cognitive Enterprise: Bringing Dark Data to Light

Wednesday, Feb 13, 2019 | 12:30 PM - 1:10 PM | Smarter Business Showcase Theater B | Session ID: 7494A

About 80% of the world’s data is hidden within organizations. Yet most curating proprietary data to create better insights and a competitive edge remains more ambition than reality for most companies. Those that take the proactive step to curate and enrich their data using digital technologies, AI, and Blockchain will have the advantage. Come learn how IBM is helping clients find their data advantage, making data easier to access and to trust. Hear how Automatic Data Processing, Inc. (ADP) Major Account Service organization (MAS) was faced with increasing data complexity and costs. With IBM, ADP is now using ML and digitization tools across the enterprise to reduce data complexity and improve business processes.


Glenn Finch, IBM
Amit Jain, ADP LLC

Change the Game: Learn How to Win with AI

Wednesday, Feb 13, 2019 | 1:30 PM - 2:10 PM | Data & AI Theater C | Session ID: 2571A

Data is what fuels digital transformation. AI promises to unlock the value of your data in totally new ways. But data collection and preparation are time-consuming and hinder deployment of AI. IBM can help you on the journey to AI by unlocking the value of your data and accelerating your journey to AI—leveraging a multicloud architecture that works with all your data in totally new ways, regardless of where it lives. With integrated analytics platforms available in public and private clouds, IBM can help with the most challenging aspect of AI adoption: data preparation.


Seth E. Dobrin, IBM
Ibrahim Hassan, Qatar Development Bank

Fast Data for Real-Time Analytics and Action

Wednesday, Feb 13, 2019 | 1:30 PM - 2:10 PM | San Francisco Ballroom 215 | Session ID: 2573A

See how you can act on massive data volumes from IoT and online apps with data science, machine learning and open source tools in an integrated platform using IBM Db2 Event Store. Apply lightening-fast data ingestion and real-time analytics coupled with Lightbend integration (an application development framework for building microservices and an event-driven app) for an end-to-end fast data platform for application development. Get a look at what is available today for Db2 Event Store, and what future items we are working on to make your AI and machine learning database the choice for your fast data applications.


Anson Kokkat, IBM
Andrew Buckler, IBM

Hybrid, Multicloud by Design. Accelerating the Enterprise Cloud Journey

Wednesday, Feb 13, 2019 | 1:30 PM - 2:10 PM | Think Theater | Session ID: 6923A

Cloud is integral to virtually every enterprise digital transformation strategy. Yet less than 20% of workloads have moved to the cloud. Why? Put simply, complexity. Enterprises are struggling to modernize apps and workloads, and overcome persistent tech and data silos reinforced by vendor lock in. Agile enterprises can accommodate changing business requirements at speed. The right cloud foundation built on open standards frees workloads and data to run on the right cloud model, on or off premises, and across multiple clouds. It embraces tech and data from more sources to speed innovation. And when combined with unique industry, security and tech expertise, it can tailor the journey to cloud to your enterprise for better outcomes.


Hillery Hunter, IBM
Arvind Krishna, IBM
Pat Gelsinger, VMware
Paul Cormier, Red Hat
Sarp Uzkan, Tribune Publishing Company
Colleen Speer, SAP
Devin Miller, ExxonMobil
Juan Antonio Zufiria Zatarain, IBM

The Blueprint for Smart Businesses

Wednesday, Feb 13, 2019 | 3:30 PM - 4:10 PM | Think Theater | Session ID: 6924A

How do you design your business for growth? Being "digital" at the edges is no longer enough. To succeed companies need to truly align the data they own towards purposeful innovation. This is the story of an insurance company who is now a risk management expert. Of a car manufacturer who found their competitive advantage in mobility. It is about an apparel retailer who is a fashion expert. But where do you start? Smarter businesses differentiate themselves from within. They have a culture of agile innovation that leverages AI and cloud on their journey to become a smart, secure and sustainable business. This is a new era for business - defined by incumbent disruptors - where companies who have a past, have the most promising future.


Mark Foster, IBM
Kelly Chambliss, IBM
Sorabh Saxena, AT&T
Claire Dickson, BP

Roadmap Alert: IBM Cognos Analytics Current and Future Enhancements

Wednesday, Feb 13, 2019 | 4:30 PM - 5:10 PM | San Francisco Ballroom 213 | Session ID: 3651A

Like most organizations, your business requirements span a spectrum of managed and self-service analytics and the pace of change is unprecedented. This session will update you on recent enhancements to IBM Cognos Analytics (formerly IBM Cognos Business Intelligence) and share how these enhancements are moving forward together to meet your analytics needs. We’ll share some market reactions and offer a view into the possible future of modern self-service and managed reporting.


Kevin Mcfaul, IBM

Modernizing Your Data Platform and Making Your Data Ready for AI

Wednesday, Feb 13, 2019 | 4:30 PM - 5:10 PM | Data & AI Theater C | Session ID: 6825A

Al Martin, VP of IBM Hybrid Data Management Development and Client Success, will discuss putting your data to work for you and preparing your company and your data for AI. Specifically, the discussion will center around IBM's ladder to AI: quickly and easily collecting, organizing and democratizing your data for analytics; and readying that data for AI. Joining him for a lively Q&A session will be Jeff Jonas, founder and CEO of Senzing, an acclaimed data scientist and the leading creator of Entity Resolution systems. Together, they will tackle some of the most burning questions around big data and AI today.


Albert Martin, IBM
Jeff Jonas, Senzing

How Decision Optimization Can Complement Machine Learning in Decision-Making

Wednesday, Feb 13, 2019 | 5:30 PM - 6:10 PM | Room 304 | Session ID: 1995A

Machine learning, AI, better insight.. Learn how to combine these techniques to create better decision-making applications. Find out about the IBM Watson Studio platform, and how to benefit from its decision optimization features. You'll also learn how prescriptive analytics can complement predictive models, to take them one step further. Come hear about real use cases and products available to accomplish this.


Virginie Grandhaye, IBM

Infuse Your Applications with AI Using IBM Watson Studio

Wednesday, Feb 13, 2019 | 5:30 PM - 6:10 PM | Data & AI Theater D | Session ID: 6975A

If you are an application developer who wants to infuse AI/ML into your applications, don't miss this session. IBM Watson Studio is a state-of-the-art data science, machine learning and AI microservice application. This talk will walk you through the process of training the machine learning model, using the data from your app, deploying the model using the Watson Machine Learning, and scoring the model in your app. We will illustrate how you, as an application developer, can collaborate with data scientists and data engineers. We'll also showcase a live demo showing results from an app with or without AI. Come learn how to become a hero for your business!


Dejan Glozic, IBM

What's Here Now and Where to Next with IBM Cloud Private for Data?

Thursday, Feb 14, 2019 | 8:30 AM - 9:10 AM | Theatre 4 | Session ID: 6710A

Join us for this session where we will be looking at an architectural view of the IBM Cloud Private for Data platform to better understand how a data and analytics platform on a private cloud comes into existence with technologies that offer microservices to enables enterprise users to effectively collect, organize and analyze their data. We will also be discussing the strategic considerations and roadmap we are driving towards with the platform.


Hemanth Manda, IBM

Ask Me Anything: Level Up with IBM Watson Explorer

Thursday, Feb 14, 2019 | 8:30 AM - 9:10 AM | San Francisco Ballroom 214 | Session ID: 6954A

Current customer of IBM Watson Explorer? Curious about content analytics, machine learning with text analytics, or advanced NLP? Join Cognitive Solutions Architect Nicole Hughes for a question and answer session on Watson Explorer.


Nicole Hughes, IBM

AI Meets IA: IBM Cloud Private for Data

Thursday, Feb 14, 2019 | 9:30 AM - 10:10 AM | Room 303 | Session ID: 2578A

Your insights are only as good as your data. But if your data is not easily accessible, ungoverned or of poor quality, then predicting outcomes and optimizing decisions could negatively impact your bottom line. In short, artificial intelligence (AI) depends on a solid information architecture (IA). IBM Cloud Private for Data is a unified data and analytics platform that can help make your data simpler to manage, govern, and analyze using collaborative, end-to-end data science tools—regardless of skill level. Learn how IBM Cloud Private for Data can help unify and leverage all your data into a solid IA foundation while confidently infusing AI into your processes to accelerate and drive new business value from your data.


Madhu Kochar,
Ashok Kumar, Verizon

The New IBM Decision Optimization User Experience

Thursday, Feb 14, 2019 | 10:30 AM - 11:10 AM | San Francisco Ballroom 216 | Session ID: 3381A

Are you a data scientist? Does your company or university need to find the best solution to problems using optimization models? Do you feel that optimization or prescriptive analytics is too complex? Come check out IBM Decision Optimization's new user experience within IBM Watson Studio and tell us what you think! In this interactive session, we will walk you through the new Decision Optimization Modeling Assistant and listen to your feedback on what works and what could be improved. Take part in this session to impact the future of IBM Decision Optimization!


Sandra Belfils, IBM
Virginie Grandhaye, IBM

Introducing OneWex: Mastering the Art and Science of Cognitive Exploration

Thursday, Feb 14, 2019 | 12:30 PM - 1:10 PM | San Francisco Ballroom 216 | Session ID: 6952A

Watson Explorer, IBM’s premier text and content mining platform, has been refreshed for 2019. Join Watson Explorer’s Lead Offering Manager, Jeff Sumner, as he introduces OneWex, Watson Explorer’s new cloud-integrated platform for cognitive exploration and insight. Come see how we’re putting the power of natural language processing in the hands of business analysts and data scientists.


Jeff Sumner, IBM

Live with NFL Legend Joe Montana

Thursday, Feb 14, 2019 | 12:30 PM - 1:10 PM | Think Theater | Session ID: 6939A

Widely considered the best NFL quarterback of all time, Joe Montana personifies performance excellence and personal integrity both on and off the field. Yet the word most closely associated with him is not winner — it's leader. Montana now brings his lessons of preparation, teamwork and performance under pressure to the world of technology, venture capital and philanthropy.


Joe Montana, Legendary NFL Quarterback

From Space to Earth... and Back Again

Thursday, Feb 14, 2019 | 1:30 PM - 2:10 PM | Park Theater | Session ID: 7222A

From landing a man on the moon to launching AI into space, over the past 50 years the speed of innovation has rivaled our own ability to imagine the future. Technology that once seemed far in the distant future is now our everyday reality, making all of our “moonshot”ambitions, opportunities and ideas just…real life. Yet, how does reaching for the stars impact our perception and the way we live on Earth? Join us to hear from those who were behind the success of Apollo 11, as well as new trailblazers and visionaries radically changing the world from space to Earth, and back again!


Taylor Richardson, Astronaut StarBright
Matthias Biniok, IBM
Steve Smith, Astronaut, Stanford MBA , and 12-year Diplomat
Emily Calandrelli, Executive Producer and Emmy-nominated host of Fox's Exploration Outer Space
Homer Ahr, Space Exploration Advocate

Optimizing Data Science with Deep Learning and Hortonworks Data Platform

Thursday, Feb 14, 2019 | 2:30 PM - 3:10 PM | Theatre 4 | Session ID: 4441A

Data science involves using AI techniques, such as machine and deep learning, to identity, train and deploy predictive models built on large datasets that can be used to quickly discover new business opportunities and prevent harmful incidents. This session will review top industry use cases for data science leveraging enterprise Hadoop data lakes and identify best practices for moving into scalable, production deployments. We will review methods to optimize infrastructure to support the huge data volumes and extreme low latency required for fast, accurate predictions. Finally, Hortonworks and IBM will share their experiences building AI models with a Hadoop environment.


Nadeem Asghar, Hortonworks
Steve Roberts, IBM

Taming the Data Dragon: Hybrid Data Warehousing with Augmented Intelligence

Thursday, Feb 14, 2019 | 2:30 PM - 3:10 PM | San Francisco Ballroom 215 | Session ID: 3582A

Data is your most valuable resource, but its intrinsic value can only be realized if you can apply it to make decisions more effectively and efficiently at the speed of business. How do you operationalize data science to drive these insights? This session deep-dives on how the IBM Hybrid Data Warehouse offers an advanced, unified analytics platform with MPP and built-in machine learning capabilities that enables you to transform and drive data science at scale. It will also showcase three use cases across finance, media and healthcare that illustrate how customers are using the IBM D2b Data Warehouse and IBM Integrated Analytics System as their new data science and modernized hybrid data warehouse for augmented intelligence.


Marcin Janiszewski, IBM
Hemant Suri, IBM

Same Data, New Game: Learn How to Extend Your BI Stack with Machine Learning

Thursday, Feb 14, 2019 | 4:30 PM - 5:10 PM | San Francisco Ballroom 215 | Session ID: 5434A

You've been doing business intelligence for years: aggregating data from operational systems into a central data warehouse, feeding it to hundreds of dashboards in tools like IBM Cognos and Tableau. Sound familiar? Learn how to extend your existing BI stack with IBM Watson Studio, so data scientists can train powerful machine learning models on the same data that lives in your warehouse—and provide deeper insights to your organization.


Ben Hudson, IBM
Miran Badzak, IBM

Think by the Bay

Thursday, Feb 14, 2019 | 6:30 PM - 9:00 PM | Pier 39 | Session ID: 7670A

Enjoy your last evening at Think 2019 at a blowout private party at the iconic Pier 39. Beginning right after the close of Thursday’s conference events, the pier will come to life with live entertainment and street performers, complimentary world-class authentic local cuisine, and open bars. Sip a cocktail, snag a souvenir for your valentine, and unwind with the new friends you’ve made at Think. Buses start leaving from Moscone West at 6:00pm. Your conference badge must be visible at all times and is required for admittance to all conference activities for security purposes.

IBM Watson Studio Local Deep-Dive

Friday, Feb 15, 2019 | 8:30 AM - 9:10 AM | San Francisco Ballroom 216 | Session ID: 6971A

IBM Watson Studio is an enterprise data science platform that provides industry-leading model management and deployment, plus end-to-end analytics in a hybrid cloud environment. This session provides you with a deep-dive into operationalizing machine learning, including: model development and management, monitoring from experimentation to production, the process for deployment and optimization, and much more. This is a session for deep technical data scientists and other professionals who want to go deep and learn what it takes to win with AI through data science.


Vishnu Alavur Kannan, IBM

Build a Machine Learning System Using IBM Watson Studio Local, ICP for Data Platform and Hadoop

Friday, Feb 15, 2019 | 11:30 AM - 12:10 PM | San Francisco Ballroom 214 | Session ID: 6055A

See how to build a full lifecycle machine learning production system using IBM Watson Studio Local or the IBM Cloud Private for Data (ICP4D) platform with open source frameworks that leverage Hadoop environments.


Linda LIU, IBM
Vishwanath Kamat, IBM