It is undeniable that the amount and complexity of data is growing within the modern enterprise. But why and what to do about it is the question that every enterprise leader must now face.
In this insightful and thought-provoking webinar, we will deconstruct what is fueling data growth and increased data complexity, the approaches organizations have used to deal with the challenges that this growth brings, and why the only hope for dealing with it in the future may be smart data discovery approaches powered by artificial intelligence (AI).
Moreover, we will examine why, as data becomes ever-more critical to the enterprise’s competitive posture, self-service becomes a strategic imperative – and why that’s becoming harder to deliver.
Whether you’re an enterprise executive – or someone who must educate your executives about this growing problem – this webinar will help you deconstruct the challenges and understand your options as you seek to ensure that your complex data landscape becomes an asset to your organization rather than a liability.
Key topics that will be discussed during this webinar are:
About our host
Steve Friedberg, Consultant, Io-Tahoe
Steve 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.
He is also the recipient of three Emmy awards for his work as a television news reporter.
About our guest
Charles Araujo, Principal Analyst, Intellyx
Charles is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is a regular contributor to CIO.com and has been quoted or published in Time, InformationWeek, CIO Insight, NetworkWorld, Computerworld, USA Today, and Forbes.