JAN 18-19 · Virtual Summit
Boosting SaaS Products with New Technologies
9AM - 4PM EST
Big Data. Data Science. Artificial Intelligence. Machine Learning.
6 Reasons Why You Should Attend:
11 industry-leading speakers on hot topics
Valuable actionable insider information
11 hours of best SaaS & new tech content
Instant access to all content after the summit
Constant access to the Summit content in Full HD
Learn about the best new tools you could implement
By submitting this form, you agree to our Privacy Policy and allow Glorium Technologies to process your data to fulfill your request.
Get the media content:
Here are just some of our virtual summits participants
Amazon
HubSpot11 Top Experts will Give a Talk
Our speakers:

Andrei Kasyanau
Co-founder and CEO at Glorium Technologies
About speaker

Andrei Kasyanau
Co-founder and CEO at Glorium Technologies
Andrei leverages his 20+ years of experience in the industry to help tech startups bolster their teams with agile product development services on demand. His vision of custom software development & management can reduce time to market by up to 30% with 40% in savings compared to in-house teams.

Anurag Sinha
Director Data and Analytics at KPI Digital
About speaker

Anurag Sinha
Director Data and Analytics at KPI Digital
Anurag specializes in Data Management & Technology as well as Enterprise Data & Analytics. Over the last 18+ years, Anurag has held multiple leadership roles in data analytics and innovation. He held a Head of Dept, Data Management & Technology at Rogers communications, as well as management positions at TATA Docomo, Reliance Infocomm to name a few. He's also helped bootstrap multiple Start-ups in the ML based Recommendations space and has deep expertise in monetization of Data Insights-as-SaaS from ground up. Anurag holds multiple degrees (BTECH, MSEE) and is a published author in the field of real time data compression. Currently he heads the Data, Analytics & Innovation practice at KPI Digital. Today, he will discuss the elements and outcomes of Innovation in an enterprise and demonstrate the direct links with a solid data strategy and foundation. He will also review a practical & proven approach to maximizing the outcomes of innovation.

Dr. Eric Topham
CEO & Co-Founder at T-DAB.AI
About speaker

Dr. Eric Topham
CEO & Co-Founder at T-DAB.AI
Development of a market changing Federated Edge AI platform, OctaiPipe. Founding and bootstrapping T-DAB.AI to over £1m revenue and >2x growth YoY. Completing my PhD. Sailing across the pacific. Walking unaided across the Atlas Mountains

Matt Shaffer
Director of Artificial Intelligence & Co-Founder at RIOS Intelligent Machines, Inc.
About speaker

Matt Shaffer
Director of Artificial Intelligence & Co-Founder at RIOS Intelligent Machines, Inc.
Matt is the Director of Artificial Intelligence and a co-founder at RIOS, where he builds robots to autonomously perform tasks requiring advanced perception and human-level dexterity. A data scientist by education (UC Berkeley), his focus is applying modern methods of deep learning to machines that interact with the real world, and ways to develop more generalized intelligence around automation.

Patrick Nunally Ph.D.
Chief Technology Officer at Blockchain Exchange Network (BEN)
About speaker

Patrick Nunally Ph.D.
Chief Technology Officer at Blockchain Exchange Network (BEN)
Dr. Nunally is an internationally recognized innovator that has been pioneering AL/ML technologies for over 30 years. As the head of signal processing for General Dynamics he co-founded the cognitive processing center with Hopfield and Mead. His career has largely focused on the application of core AI/ML technologies to wireless, internet of things, cryptographic security, and network systems applications. With over 120 granted patents, Dr. Nunally has been consistently successful in creating/launching industry changing systems and service and his accomplishments have led to recognition by the Institute of Electrical and Electronics Engineers’ Eta Kappa Nu, The National Academy of Television Arts & Sciences, and he has been twice recognized nationally as the IEEE Eta Kappa Nu’s most outstanding engineer of the year and was awarded a Technical Emmy 2009 for his Arbitron Portable People Meter.

Florence D. Hudson
Executive Director at Northeast Big Data Innovation Hub
About speaker

Florence D. Hudson
Executive Director at Northeast Big Data Innovation Hub
Accomplishments/bio: Florence D. Hudson is Executive Director of the NSF and NIH funded Northeast Big Data Innovation Hub at Columbia University, the COVID Information Commons, National Student Data Corps, and Cybersecurity Risk Conference, and Founder and CEO of FDHint, LLC, a global advanced technology and diversity & inclusion consulting firm. She is a former IBM Vice President and Chief Technology Officer, Internet2 Senior Vice President and Chief Innovation Officer, Special Advisor for the NSF Cybersecurity Center of Excellence, and aerospace engineer at NASA and Grumman Aerospace Corporation. She is an accomplished author and editor, including books on TIPPSS – Trust, Identity, Privacy, Protection, Safety and Security - for the Internet of Things, Connected Healthcare, and Smarter Cities. She serves on 10 Advisory Boards, including the IEEE Engineering in Medicine and Biology Society, the Neuroscience Outreach Network, academic advisory boards for Mechanical, Industrial, Manufacturing, Civil and Environmental Engineering, and Blockchain in Healthcare Today. She earned her aerospace and mechanical engineering degree at Princeton University, and executive education diplomas from Harvard Business School and Columbia University.

Dan Shiebler
Head of Machine Learning at Abnormal Security
About speaker

Dan Shiebler
Head of Machine Learning at Abnormal Security
As the Head of Machine Learning at Abnormal Security, Dan Shiebler builds cybercrime detection algorithms to keep people and businesses safe. Before joining Abnormal Dan worked at Twitter: first as an ML researcher working on recommendation systems, and then as the engineering manager for the web ads machine learning team. Before Twitter Dan built smartphone sensor algorithms at TrueMotion and Computer Vision systems at the Serre Lab. Dan's PhD at the University of Oxford focused on the applications of Category Theory to Machine Learning.

Manisha Gupta
VP, Products, AI/ML Analytics for HCMVP at Oracle
About speaker

Manisha Gupta
VP, Products, AI/ML Analytics for HCMVP at Oracle
Manisha Gupta is the VP of Products, AI/ML Analytics for HCM at Oracle. Her team builds analytics solutions to drive exponential business impact with efficient teams and engaged employees. Before joining Oracle, she led global roles and built multi-million-dollar revenue-generating products for LinkedIn,eBay and several startups. Manisha holds an MBA from Wharton and an MS Computer Science, and several patents. She is a frequent public speaker, author, and people leader. An operator, investor, board member, faculty, hiker, and mother, she enjoys traveling and enriching life with technology, psychology, and philanthropy.

Reza Rahimi
Senior Software Engineering Manager-AI/ML Products at Dropbox
About speaker

Reza Rahimi
Senior Software Engineering Manager-AI/ML Products at Dropbox
Reza is a senior engineering manager at Dropbox, leading personalization, consumer targeting, and revenue-related ML products. He has more than 15 years of industrial work experience in big data management, analytics, and machine learning in different business segments (software as a service, consumer web, cloud services, consumer electronics, and healthcare insurance). He got his Ph.D. from UC Irvine in computer science. He is a Harvard business review advisory council member, MIT technology review global panel member, senior member of IEEE and InfoQ editor.

Vishal Sethi
Assistant Vice President - Data, AI and Digital Transformation at Bristlecone
About speaker

Vishal Sethi
Assistant Vice President - Data, AI and Digital Transformation at Bristlecone
Global recognition for entrepreneurial initiatives and thought leadership. Build enterprise products creating global impacts for fortune 100 companies and Startups. Social network analysis for a largest Canadian bank. Enterprise automation platform for a US insurance pioneer. AI automated fulfillment platform for a 3PL fulfillment start-up. Speaker with C-level summits – Gartner, Bloomberg

Catherine Brinkman
Vice President of Client Experience at Dale Carnegie Training
About speaker

Catherine Brinkman
Vice President of Client Experience at Dale Carnegie Training
Catherine Brinkman, a 15-year veteran with Dale Carnegie is Vice President of Client Experience for their New York City office. As Dale Carnegie continues its digital transformation Catherine works to champion the initiative across their global network. She is the 2022 recipient of Reworked Collaboration Excellence Award for her work around Dale Carnegie’s new online LMS platform. Catherine also has extensive experience selling RPA software at an enterprise level into the contact center and financial verticals. In January 2021, she was appointed to be on the advisory board for the Lubin School of Business at Pace University. Her focus is how RPA and digital transformation will influence sales cultures.

Boaz Brudner
Head of Innovyze SaaS engineering, AI and Architecture at Autodesk
About speaker

Boaz Brudner
Head of SaaS engineering, AI and Architecture, Water life cycle at Autodesk
Boaz Brudner is the head of Innovyze SaaS engineering, AI and architecture ( Innovyze was recently acquired by Autodesk). Boaz joined Innovyze early on in 2020 to champion Innovyze’s transformation from a desktop based water software provider to a leader in the SaaS and AI products for water professionals. This transformation has been nothing short of remarkable, within 8 months of development kick off Innovyze released its first full scale SaaS product named Info360 Insight to market and has released 2 additional products since then in very short timelines of 6-8 months. These achievements were achieved by building a remarkable set of teams, setting a well defined agile development process, relying on bleeding edge managed and serverless cloud services, highly decoupled event driven architecture and uncompromising customer value prioritisation. Prior to this role, Boaz held a number of senior leadership roles at Cisco and Zillow leading engineering, AI, QA and product management functions.
Host

Javy Martinez
Hosting Dope Startup Events for Early Stage Founders & Startups
ABOUT HOST

Javy Martinez
Hosting Dope Startup Events for Early Stage Founders & Startups
Javy is a dynamic entrepreneur and philanthropist with a wealth of experience and a dedication to helping others succeed. He is the Co-Founder of Javannah Capital International, a startup studio that supports early-stage founders as they launch or scale their businesses. In addition, Javy founded The Single Parent Family Foundation, which provides family support programs and resources to single-parent families in Dallas County living in poverty. As the Managing Director for Founder Institute North Texas, Javy is committed to helping other entrepreneurs thrive. He is also the Co-Founder of Sports Media Promotions, the parent company behind the popular Dallas Cowboys Player Talk Show "Inside The Huddle," where he serves as Executive Producer. In addition, he serves as a Board Member for Alstrom Angels, a nonprofit that supports individuals with Alstrom Syndrome, a rare genetic disorder.

Get the media content
Schedule
Day 1 · JANUARY 18
opening Opening by host
introduction Introductory Speech

Andrei Kasyanau
Co-founder and CEO at Glorium Technologies
About speaker

Andrei Kasyanau
Co-founder and CEO at Glorium Technologies
Andrei leverages his 20+ years of experience in the industry to help tech startups bolster their teams with agile product development services on demand. His vision of custom software development & management can reduce time to market by up to 30% with 40% in savings compared to in-house teams.
talk Leverage Data Strategy as a Catalyst for Innovation
- Why Innovate?
- Innovation use cases
- What is Innovation?
- What prevents Innovation
- Winning Data Strategy – Why, Key Elements, How

Anurag Sinha
Director Data and Analytics at KPI Digital
About speaker

Anurag Sinha
Director Data and Analytics at KPI Digital
Anurag specializes in Data Management & Technology as well as Enterprise Data & Analytics. Over the last 18+ years, Anurag has held multiple leadership roles in data analytics and innovation. He held a Head of Dept, Data Management & Technology at Rogers communications, as well as management positions at TATA Docomo, Reliance Infocomm to name a few. He's also helped bootstrap multiple Start-ups in the ML based Recommendations space and has deep expertise in monetization of Data Insights-as-SaaS from ground up. Anurag holds multiple degrees (BTECH, MSEE) and is a published author in the field of real time data compression. Currently he heads the Data, Analytics & Innovation practice at KPI Digital. Today, he will discuss the elements and outcomes of Innovation in an enterprise and demonstrate the direct links with a solid data strategy and foundation. He will also review a practical & proven approach to maximizing the outcomes of innovation.
talk OctaiPipe: Solving Scalable AIoT with Federated Learning and Edge ML-Ops
- Traditional centralised machine learning reaches limits when applied to highly distributed environments such as in IoT.
- High costs, privacy and security risks, and an over dependence on connectivity and a need for lower latency of on-device intelligence means that there is a need for new, decentralised machine learning systems.
- These must be able to learn and predict on-device, lower data transfer volumes, maximise data privacy and security, and deliver great device intelligence autonomy.
- In addition, for such systems to be scalable, the lifecycle management of models must also be decentralised. Devices must be autonomous in monitoring data and model attributes and performance, and automatically take actions to maintain the performance of critical algorithms.
- This talk will explore how OctaiPipe binds federated learning to edge ML-Ops and enables scalable edge AI for industrial IoT applications.

Dr. Eric Topham
CEO & Co-Founder at T-DAB.AI
About speaker

Dr. Eric Topham
CEO & Co-Founder at T-DAB.AI
Development of a market changing Federated Edge AI platform, OctaiPipe. Founding and bootstrapping T-DAB.AI to over £1m revenue and >2x growth YoY. Completing my PhD. Sailing across the pacific. Walking unaided across the Atlas Mountains
talk Expanding Market Opportunities with Recent Advances in Machine Learning
- Applying concepts from SaaS beyond software
- Understanding limitations of current technology for customers
- Using machine learning and AI to expand hardware capabilities through data/software
- Examples of challenges within robotics applications addressed by data-driven AI at RIOS

Matt Shaffer
Director of Artificial Intelligence & Co-Founder at RIOS Intelligent Machines, Inc.
About speaker

Matt Shaffer
Director of Artificial Intelligence & Co-Founder at RIOS Intelligent Machines, Inc.
Matt is the Director of Artificial Intelligence and a co-founder at RIOS, where he builds robots to autonomously perform tasks requiring advanced perception and human-level dexterity. A data scientist by education (UC Berkeley), his focus is applying modern methods of deep learning to machines that interact with the real world, and ways to develop more generalized intelligence around automation.
break Coffee break
talk Introduction of Pervasive AI Driven Bioinformetrics for SaaS Applications
- Mobile 3.0 requires native uninterrupted user identification
- Bioinformetrics fuse sensor streams into a single native biometric
- How does Bioinformetrics work?
- Bioinformetrics development and testing status
- Bioinformetrics changes security dynamics

Patrick Nunally Ph.D.
Chief Technology Officer at Blockchain Exchange Network (BEN)
About speaker

Patrick Nunally Ph.D.
Chief Technology Officer at Blockchain Exchange Network (BEN)
Dr. Nunally is an internationally recognized innovator that has been pioneering AL/ML technologies for over 30 years. As the head of signal processing for General Dynamics he co-founded the cognitive processing center with Hopfield and Mead. His career has largely focused on the application of core AI/ML technologies to wireless, internet of things, cryptographic security, and network systems applications. With over 120 granted patents, Dr. Nunally has been consistently successful in creating/launching industry changing systems and service and his accomplishments have led to recognition by the Institute of Electrical and Electronics Engineers’ Eta Kappa Nu, The National Academy of Television Arts & Sciences, and he has been twice recognized nationally as the IEEE Eta Kappa Nu’s most outstanding engineer of the year and was awarded a Technical Emmy 2009 for his Arbitron Portable People Meter.
talk Learning and Leveraging Data Science and Advanced Technologies for Success
- Leverage Big data, data science, artificial intelligence, machine learning, and quantum technologies for success
- Learn data science through the Northeast Big Data Innovation Hub and National Student Data corps, for free
- Learn the new security paradigm and standards being developed for TIPPSS - Trust, Identity, Privacy, Protection, Safety and Security.
- Collaborate with industry, research and academia for data science innovation through the Northeast Big Data Innovation Hub headquartered at Columbia University

Florence D. Hudson
Executive Director at Northeast Big Data Innovation Hub
About speaker

Florence D. Hudson
Executive Director at Northeast Big Data Innovation Hub
Accomplishments/bio: Florence D. Hudson is Executive Director of the NSF and NIH funded Northeast Big Data Innovation Hub at Columbia University, the COVID Information Commons, National Student Data Corps, and Cybersecurity Risk Conference, and Founder and CEO of FDHint, LLC, a global advanced technology and diversity & inclusion consulting firm. She is a former IBM Vice President and Chief Technology Officer, Internet2 Senior Vice President and Chief Innovation Officer, Special Advisor for the NSF Cybersecurity Center of Excellence, and aerospace engineer at NASA and Grumman Aerospace Corporation. She is an accomplished author and editor, including books on TIPPSS – Trust, Identity, Privacy, Protection, Safety and Security - for the Internet of Things, Connected Healthcare, and Smarter Cities. She serves on 10 Advisory Boards, including the IEEE Engineering in Medicine and Biology Society, the Neuroscience Outreach Network, academic advisory boards for Mechanical, Industrial, Manufacturing, Civil and Environmental Engineering, and Blockchain in Healthcare Today. She earned her aerospace and mechanical engineering degree at Princeton University, and executive education diplomas from Harvard Business School and Columbia University.
closing Final word
About speaker
Day 2 · JANUARY 19
opening Opening by host
talk Resilient Machine Learning
- Maintaining good performance in the face of system outages
- Protecting ML systems from adversaries
- Managing offline/online mismatch
- Protecting against feedback loops in an online system
- Handling new customers and data distribution shift

Dan Shiebler
Head of Machine Learning at Abnormal Security
About speaker

Dan Shiebler
Head of Machine Learning at Abnormal Security
As the Head of Machine Learning at Abnormal Security, Dan Shiebler builds cybercrime detection algorithms to keep people and businesses safe. Before joining Abnormal Dan worked at Twitter: first as an ML researcher working on recommendation systems, and then as the engineering manager for the web ads machine learning team. Before Twitter Dan built smartphone sensor algorithms at TrueMotion and Computer Vision systems at the Serre Lab. Dan's PhD at the University of Oxford focused on the applications of Category Theory to Machine Learning.
talk Understanding and Operationalizing AI for Your Product and Company
- What is Intelligence - human and artificial
- Branches of AI
- Why is Deep Learning taking off?
- How does Natural Language Processing work?
- How to Operationalize AI for a SaaS product or company?

Manisha Gupta
VP, Products, AI/ML Analytics for HCMVP at Oracle
About speaker

Manisha Gupta
VP, Products, AI/ML Analytics for HCMVP at Oracle
Manisha Gupta is the VP of Products, AI/ML Analytics for HCM at Oracle. Her team builds analytics solutions to drive exponential business impact with efficient teams and engaged employees. Before joining Oracle, she led global roles and built multi-million-dollar revenue-generating products for LinkedIn,eBay and several startups. Manisha holds an MBA from Wharton and an MS Computer Science, and several patents. She is a frequent public speaker, author, and people leader. An operator, investor, board member, faculty, hiker, and mother, she enjoys traveling and enriching life with technology, psychology, and philanthropy.
talk Boosting Personalization In SaaS Using Machine Learning
- Consumer Problem in Saas
- How Personalization Solves Consumer Problems
- Understanding User Intent and SaaS Products For Different Personalization Levels
- How to use Machine Learning to Recommend our Customers Correct Services at the Correct Time

Reza Rahimi
Senior Software Engineering Manager-AI/ML Products at Dropbox
About speaker

Reza Rahimi
Senior Software Engineering Manager-AI/ML Products at Dropbox
Reza is a senior engineering manager at Dropbox, leading personalization, consumer targeting, and revenue-related ML products. He has more than 15 years of industrial work experience in big data management, analytics, and machine learning in different business segments (software as a service, consumer web, cloud services, consumer electronics, and healthcare insurance). He got his Ph.D. from UC Irvine in computer science. He is a Harvard business review advisory council member, MIT technology review global panel member, senior member of IEEE and InfoQ editor.
break Coffee break
talk Leveraging AI for Boosting your SaaS product/business ROIs
- How to create an AI SaaS product
- Integrating AI into existing SaaS products
- Role of machine learning in transforming the SaaS ecosystem
- Leveraging machine learning as a service

Vishal Sethi
Assistant Vice President - Data, AI and Digital Transformation at Bristlecone
About speaker

Vishal Sethi
Assistant Vice President - Data, AI and Digital Transformation at Bristlecone
Global recognition for entrepreneurial initiatives and thought leadership. Build enterprise products creating global impacts for fortune 100 companies and Startups. Social network analysis for a largest Canadian bank. Enterprise automation platform for a US insurance pioneer. AI automated fulfillment platform for a 3PL fulfillment start-up. Speaker with C-level summits – Gartner, Bloomberg
talk Communicating Beyond the 0s and 1s
- Selling the value of new AI/Ml applications to your team
- Fundamentals of communication
- Bridging generations - both boomers through Gen Z with new release and legacy technology
- How AI/ML will help your workforce put a customer focus first again
- Why embracing change is a huge win for the people side of business.

Catherine Brinkman
Vice President of Client Experience at Dale Carnegie Training
About speaker

Catherine Brinkman
Vice President of Client Experience at Dale Carnegie Training
Catherine Brinkman, a 15-year veteran with Dale Carnegie is Vice President of Client Experience for their New York City office. As Dale Carnegie continues its digital transformation Catherine works to champion the initiative across their global network. She is the 2022 recipient of Reworked Collaboration Excellence Award for her work around Dale Carnegie’s new online LMS platform. Catherine also has extensive experience selling RPA software at an enterprise level into the contact center and financial verticals. In January 2021, she was appointed to be on the advisory board for the Lubin School of Business at Pace University. Her focus is how RPA and digital transformation will influence sales cultures.
talk Build Scalable SaaS Product Portfolios - the Right Way!
- Agile development from an executive leader’s perspective - how to be agile and fast in the short term and at the same time create a predictable long term roadmap and vision for the company and your customers.
- Focus on building customer value vs building infrastructure.
- The rise of serverless for SaaS, big data and AI and why you should pay attention.
- Future trends to lookout for in the low code/ no code SaaS, AI and big data spaces

Boaz Brudner
Head of SaaS engineering, AI and Architecture, Water life cycle at Autodesk
About speaker

Boaz Brudner
Head of SaaS engineering, AI and Architecture, Water life cycle at Autodesk
Boaz Brudner is the head of Innovyze SaaS engineering, AI and architecture ( Innovyze was recently acquired by Autodesk). Boaz joined Innovyze early on in 2020 to champion Innovyze’s transformation from a desktop based water software provider to a leader in the SaaS and AI products for water professionals. This transformation has been nothing short of remarkable, within 8 months of development kick off Innovyze released its first full scale SaaS product named Info360 Insight to market and has released 2 additional products since then in very short timelines of 6-8 months. These achievements were achieved by building a remarkable set of teams, setting a well defined agile development process, relying on bleeding edge managed and serverless cloud services, highly decoupled event driven architecture and uncompromising customer value prioritisation. Prior to this role, Boaz held a number of senior leadership roles at Cisco and Zillow leading engineering, AI, QA and product management functions.
closing Final word
Brought To You By
Platinum Partner
RealPage














