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.


Special guest Neil Raden will join Steve Friedberg. For more than a quarter-century, Neil delivers a greater understanding of what’s happening in technology; he does not merely report on it and rank it. He is a contributing analyst at Wikibon/Silicon Angle, a lecturer at The Data Warehousing Institute (TDWI), as well as a member of the Boulder BI Brain Trust (BBBT) and a contributor to Forbes.com. AnalyticsWeek has named him as one of the Top 200 Thought Leaders in Big Data and Analytics.


In this Webinar you will learn:


  • 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

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.

Neil Raden is the founder and principal analyst at Hired Brains Research. For more than a quarter-century, Neil delivers a greater understanding of what’s happening in technology, He is a contributing analyst at Wikibon/Silicon Angle, a lecturer at The Data Warehousing Institute (TDWI), as well as a member of the Boulder BI Brain Trust (BBBT) and a contributor to Forbes.com.

Tuesday, July 31, 2018
12:00 – 1:00 p.m. EDT.

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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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