Managing the Data Explosion in a Multi-Zettabyte World
Data has been growing exponentially for decades; if anything, the pace of that growth has exploded in recent years. Managing this growth, with data flowing from multiple sources, has grown beyond the scope of the human mind. But companies can no longer discover the data under their control through traditional or manual methods; advanced, AI-driven technology must be deployed to help companies gain control of the information. Increasingly, this is especially true of sensitive data, which is subject to regulations from the moment it enters the corporate ecosphere.
By applying advanced technology like Smart Data Discovery, companies can get a better understanding of the data under their control at any given point, how to keep it secure, honor the privacy needs of stakeholders, comply with the regulations and gain a greater degree of trust from their customers. This webinar, with veteran industry analyst Ben Woo, will discuss how AI can help organizations manage this challenge, as well as where storage requirements are headed in the near future, with corresponding needs for greater ability to maintain control of it.
About our guest
Ben Woo, CEO and Principal Analyst, Neuralytix
Ben Woo is the CEO and Principal Analyst of Neuralytix where he leads a group of industry analysts looking at IT infrastructure, channels, security, and regulatory concerns. Prior to founding Neuralytix, Ben was the Program VP of Worldwide Storage Systems Research at IDC, and Lead Analyst for the global IDC Big Data program. He has also served as a Director, Product Marketing at Pure Storage.
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.
Don’t worry! You can catch up on past webinar materials by accessing the links below or by visiting our YouTube Channel.
Digging Deep: Finding and Maximizing the Hidden Value of Data in Motion; leveraging it for compliance and real-time insights
The never-ending flood of data being generated is cause for greater accountability than ever before. Regulations like the California Consumer Privacy Act, the General Data Protection Regulation, and more, require companies to gain heightened control over their data, regardless of where or how it exists; if it’s in the corporate ecosystem, it’s subject to the rules.
In this Io-Tahoe webinar, guest Frank Ohlhorst, Industry Analyst and CTO at Mangum Consulting, addressed data analytics as a key element in today’s business, the need to gain greater control over all of your data, the GRC-defined requirements for real-time data discovery, meeting the PII data in motion challenge and the increased value of Smart Streaming Discovery.
The State of the AI Union
Call it what you will: “artificial intelligence,” or “augmented intelligence.” Whatever term you use, AI may be the hottest topic in today’s technology environment. But even as it is being praised for its ability to help companies manage massive amounts of data, and help them operate more efficiently, it is also being viewed with a skeptical eye by others.
In this Io-Tahoe webinar, AI’s “state of the union”, special guest Charles Roe, Digital Content Manager at Dataversity, focused on how artificial intelligence has emerged to play a leading role in today’s technology, as well as its future in areas such as Smart Data Discovery.
This webinar addressed:
The Total Economic Impact™ of Io-Tahoe
In this webinar, guest speakers Amy Harrison, Senior TEI Consultant, and Michele Goetz, Principal Analyst, of Forrester Consulting, and speakers Rohit Mahajan, Io-Tahoe’s Chief Technology & Product Officer and Oksana Sokolovsky, Io-Tahoe’s Chief Executive Officer, discussed topics such as:
Smart Data Discovery and Transparency for Complying with CCPA, GDPR and other Privacy Regulations
Data privacy and protection requirements can no longer be brushed aside. In 2018, the European Union’s General Data Protection Regulation (GDPR), went into effect; GDPR set new standards for how organizations must protect EU citizens’ data that they collect, share, and analyze, or face stiff financial and reputational penalties. Now, the clock is ticking for firms based in California or that have customers or employees who live in the state.
This webinar addressed:
The New Data Journey; Automated Data Governance
There are increasing global regulations that govern what data companies may keep, dictate how they can use it, and mandate under which circumstances they may keep it, or must get rid of it. From HIPAA to GLBA to GDPR and now, CCPA, these privacy regulations are forcing firms worldwide to re-examine the policies and processes they deploy to keep track of the information they have, where it resides and how it is being used.
This webinar addressed:
Big Data: How to Get Corporate Directors to Love It
“We are in a new era of big data – and company directors are finding it hard to adapt,” Merendino says. “Directors struggle to introduce changes within the shortened timescales created by an ever-changing backdrop of new data and they are under pressure to adapt the way strategic decisions are made.” In this webinar, Dr. Merendino addressed these critical issues and more.
Deconstructing Data Complexity and the Case for AI-Driven Smart Data Discovery
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).
Data Privacy, AI and what you need to know about Enterprise Data Catalogs
In a GDPR-driven world, your customers are increasingly insistent about their right to control the information you have about them. Increasingly, governments globally are echoing that sentiment and instituting new regulations that control what data you may keep about your customers, what you can do with it, and their right to demand that you get rid of it.
In this joint webinar, EDM Council and Io-Tahoe addressed these data issues, especially:
AI, ML and Smart Data Discovery; Getting Developers the Information and Capabilities They Need to Succeed
Developers are under greater pressure than ever before to make the most of emerging technologies such as artificial intelligence (AI) and machine learning (ML), as they attempt to help their companies make the most from the never-ending, continuously growing tsunami of data.
At the same time, they are being challenged to take a more strategic role at their firms and are pushed to discover new and improved ways of utilizing data to gain greater insights. All this, while facing increasingly gating factors, such as the EU’s GDPR, on the kinds of data that can be collected.
In this Webinar you will learn:
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 this Io-Tahoe webinar, noted editor, journalist, and technology gadfly, Evan Schuman, will weigh in on these topics and more, including:
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:
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:
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:
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.
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”
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
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.
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.