Webinars

 

The Pendulum on the Move: Privacy Regulations after GDPR, and the Need for AI-driven Solutions

The implementation of GDPR had people worldwide paying far more attention to privacy issues than ever before. But even as GDPR has become a de facto global standard, the push towards greater consumer privacy has not stopped there. With additional regulations, such as Britain’s updated Data Protection Act, California’s new Consumer Privacy Act, and the forthcoming ePR initiative in the European Union, the pendulum will continue its course away from the “no privacy on the Internet” attitude of the 1990s.

 

In the latest Io-Tahoe webinar, noted editor, journalist, and technology gadfly, Evan Schuman, will weigh in on these topics and more, including:

 

  • Why many approaches to online privacy are not viable and won’t work
  • Why California companies may already be doing more than the law requires (without even knowing it)
  • Why artificial intelligence/machine learning must be part of your compliance strategy

About our speakers

Steve Friedberg is a veteran corporate communications consultant and strategist who has worked on behalf of companies worldwide for more than a generation. He’s worked with multi-billion dollar publicly traded firms and privately held start-ups in the fields such as data analytics, data centers, information security, business continuity and more.

Evan Schuman is a noted editor, journalist and technology gadfly. He is also the founding editor of retail technology site StorefrontBacktalk. Evan has been a columnist for CBSNews.com, RetailWeek, Computerworld and eWeek and his byline has appeared in titles ranging from BusinessWeek, VentureBeat and Fortune to The New York Times, USA Today, Reuters, The Philadelphia Inquirer, The Baltimore Sun, The Detroit News and The Atlanta Journal-Constitution.

Tuesday, August 21, 2018
12:00 – 1:00 p.m. EDT.

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July 31, 2018

 

Combining the Power of Data Catalogs and Artificial Intelligence

 

Machine learning is garnering an incredible amount of attention, but there is still confusion among many about how it can be put to significant use in enterprises, today and with an eye toward the future. This, coupled with a growing awareness of the importance of data cataloging, represents an incredible opportunity for companies that can implement them effectively and understand their potential.

 

In this webinar recording, viewers will join host Steve Friedberg and special guest Neil Raden, founder and principal analyst at Hired Brains Research, and discover:

 

  • Why embedded machine learning technology is essential to tackle the job of managing data discovery by mapping relationships in the disparate data not evident in manual processes
  • Why the data discovery process is dynamic, not a one-time ETL-type mapping to a stable schema
  • What real metadata is: it’s not neatly arranged in one location, but active throughout the whole process from discovery to an active, semantically rich data catalog
  • The increasing importance of being able to analyze all available data, not just a sample or the metadata

 

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July 3, 2018

 

Operationalized AI and machine learning: challenges and possible solutions

 

Artificial Intelligence (AI) has captured the imagination of many organizations, from small startups to vast Enterprise corporations.  But doing AI successfully, and in a consistent fashion, can be an elusive goal, a fact which limits productivity, project success and mainstream adoption.

 

In this Io-Tahoe Webinar, you will join consulting veteran and an accomplished data scientist Ciprian Jichici, General Manager at Genisoft. Attendees will learn:

 

  • The challenges to making data science efforts conform to software development best practices
  • How repeatability and operationalization of machine learning and AI is made difficult by fragmentation in the data science technology landscape and yet is still critical to success
  • About new projects in the machine learning world that are making data science more procedural and repeatable, and better-integrated with data engineering and analytics
  • How software applications with embedded AI offer an on-ramp to the technology, without the operational burdens

 

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June 19, 2018

 

Data catalogs: mere registries or data management dynamos?

 

In this age of data complexity and regulatory strictness, many companies realize they need to be inventorying, mapping and cataloging their data.  On the cataloging front, there’s no shortage of vendors and solutions aimed at meeting the need. That includes the Enterprise mega-vendors, specialty data management contenders and pure play data catalog providers alike.

 

Tune into the Io-Tahoe Webinar with Joseph D’Antoni, Principal Consultant at Denny Cherry & Associates Consulting, to learn about data catalog capabilities and workloads, today and into the future.

 

In this Webinar you’ll gain insight into whether data catalogs should:

 

  • Simply be a searchable collection of descriptions for each of your databases, tables and data sets
  • Go down to the column level and enforce business rules
  • Have its content provided by data stewards, crowdsourced to business users or partially automated

 

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June 5, 2018

 

The Tip of the Iceberg: Data Privacy, Data Discovery, Machine Learning and more

 

In an era of enhanced privacy enforcement, where GDPR may be merely the tip of the iceberg, how are companies expected to act? They have access to more data than ever before, residing in more places than ever before, but are now required to enforce strict rules on how that data may be used…or whether it may be used at all.

 

The challenge for companies, then, lies in how they will gain total control over all that data, regardless of where it resides and in which forms.

 

Tune into the Io-Tahoe webinar with Pam Baker, noted author of the widely acclaimed “Data Divination: Big Data Strategies and freelance journalist, to explore the world beyond GDPR.

 

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May 8, 2018

 

GDPR, data discovery and machine learning: you won’t believe what happens next!

 

In this webinar, attendees will join John L. Myers, Managing Research Director at Enterprise Management Associates, and learn:

• How GDPR will further prepare organizations for data-driven strategies in the future
• The main challenges that traditional best practices pose to strategic data management
• How automated techniques allow existing data management teams to scale
• The value of AI/ML techniques to take data management to the “next level”

 

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April 10, 2018

 

The state of the analytics union, with an industry expert

 

Attendees of this Webinar will learn from industry veteran Bob Baker, Senior Director at SAP Ariba, about:

• Where customer sentiment lies, regarding the public cloud, Big Data vendors and Enterprise incumbents
• Where AI is – and is not – gaining traction
• How data lakes, traditional BI and data warehouse technologies can achieve synergy, and where they remain isolated

 

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March 27, 2018

 

Big Data and AI – does one serve the other?

 

In this exciting webinar, guest Pranav Rastogi, Product Specialist for Big Data at Microsoft, helps shed light on the role of Big Data in today’s market. He and host Andrew Brust discuss the use of analytics platforms to ready data for training predictive machine learning models, rather than merely for query and analytics workloads.

 

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March 13, 2018

 

Making AI production-ready

 

In this webinar, guest Andy Cross, COO and co-owner of London-based cloud data consultancy Elastacloud, will discuss how ready AI is for Enterprise prime time and what additional steps the industry needs to get it the rest of the way.

 

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February 27, 2018

 

Machine learning & data discovery: You can’t analyze what you can’t find

 

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February 13, 2018

 

GDPR: How European companies have moved towards compliance

 

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January 30, 2018

 

Bridging the database-data lake gap

 

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January 16, 2018

 

Data maturity: evaluate it, achieve it and evolve it

 

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