• As you survey the cybersecurity market, what’s the current biggest trend?
• You’ve said that “It’s a matter of when, not if, a cyberattack slips past perimeter defenses, so they must have the strategies in place to respond to a successful breach quickly and effectively.” So what is that strategy, in a nutshell?
• How is Veritas addressing the security needs of its clients? What’s the Veritas advantage?
• You’ve also said that “Resilience is a team sport: No one vendor can solve an organization’s entire cyber resilience challenge.” How should companies evaluate complementary IT partners to provide end-to-end cyber resilience?

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The post Veritas’s Matt Waxman on Data Protection Strategies appeared first on eWEEK.

Among the topics we discussed:

• Before we dive too deep, let’s define the concept. What does it mean to use artificial intelligence to “contextualize data effectively while aligning with specific business objectives.”
• What are the challenges to this process?
• In essence, what is the guide to achieving this alignment?
• How is Cognizant addressing the AI and data needs of its clients?
• The future of AI in enterprise settings? What are some key milestones we can expect in the years ahead?

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The post Cognizant CTO Babak Hodjat on AI and Contextualizing Data appeared first on eWEEK.

Among the topics we discussed: 

• Let’s talk about integration technology in the enterprise. How does it work in terms of, say, integrating cloud and legacy in-house apps?
• What are the challenges in integration? The typical headaches? How do you recommend companies handle these challenges?
• How is Jitterbit addressing the integration needs of its clients?
• The future of tech integration in the enterprise? Will it ever get easy?

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The post Jitterbit CEO George Gallegos on Tech Integration in Enterprise Infrastructure appeared first on eWEEK.

Among the topics we discussed:

• What’s a major challenge that companies face with their data analytics practice? For all the effort and expense, what’s still holding companies back?
• How can companies solve this issue? Is there industry momentum toward any solutions?
• How does Pure Storage support the analytics practices of its clients?
• What about ESG and the issue of data storage, with the shift from hard disc to flash? What are the implications for issues like power use and sustainability?

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The post Pure Storage’s Justin Emerson on Analytics Performance and Flash Storage appeared first on eWEEK.

Among the topics we discussed:

• When you refer to digital engagement, what exactly do you mean? Are you referring to chatbots?
• We see so much buzz about ChatGPT and AI solutions. What role does AI play in automating customer interactions?
• How do you ensure your digital self service solutions align with the company’s overall CX objectives?
• With the introduction of digital channels in contact centers, how has this impacted WFM? WFM solutions were built for phone calls; is there an impact by introducing them to the digital channel?
• We are seeing a lot of buzz around the back office and how it has been siloed from the front office; it appears there is a desire to blend. What is the best approach to achieve this? Is this something that TTI analytics can help with?

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The post NICE’s Andrea Matsuda on Digital Engagement and the Contact Center appeared first on eWEEK.

Among the topics we discussed: 

• Data analytics with 2024 around the corner: do you see artificial intelligence as the savior of those companies that struggle with data analytics?
• What advice do you give to companies to get more from their analytics practice?
• How is Senzing addressing the analytics needs of its clients? Why does entity resolution matter?
• The future of data analytics, AI and entity resolution? What do you predict?

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The post Senzing CEO Jeff Jonas on AI, Data Analytics and Entity Resolution appeared first on eWEEK.

Among the topics we discussed: 

• As you speak with other data analytics professionals, what are a couple of key trends and/or challenges you see with how companies are currently using data analytics?
• You’ve spoken about the importance of a “centralized, co-located data and analytics team.” First, let’s define this: what does it mean to be both centralized and co-located?
• How does this improve functionality for data analytics teams?
• Does this help develop talent among the data analytics staff? Any other advantages?
• Do you have a sense of future directions for data analytic practices in the corporate setting? What do you foresee?

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The post Vanguard Chief Data Analytics Officer Ryan Swann on Boosting Analytics Performance appeared first on eWEEK.

We’ll discuss – using Twitter, now called X – current and evolving trends that are shaping the future of cloud computing, a dynamic platform that is now foundational for the enterprise. Our ultimate goal: to offer guidance to companies that enables them to maintain a competitive strategy as cloud continues its rapid evolution.

See below for:

• Participant list for this month’s eWeek Tweetchat on data analytics
• Questions we’ll discuss in this month’s eWeek Tweetchat
• How to Participate in the Tweetchat
• Tentative Schedule: Upcoming eWeek Tweetchats

Participants List: the Future of Cloud Computing

The list of experts for this month’s Tweetchat currently includes the following – please check back for additional expert guests:

• Trent Fierro, Cloud and AIOps Solutions Marketing, Aruba 
• Jon Thomas, Senior Director of Product Management, BMC
• Robert (Bobby) Blumofe, CTO and EVP, Akamai Technologies
• Jason Carolan, Chief Innovation Officer, Flexential 
• Paolo Sellari, Cloud Senior Product Manager, Tangoe
• Jesse Stockall, Chief Architect, Snow Software
• Holland Barry, Field CTO, Cyxtera
• Andi Mann, Global CTO and Founder, Sageable
• Zeus Kerravala, Founder and Principal Analyst, ZK Research
• Drew Firment, Chief Cloud Strategiest, Pluralsight
• Tony Vinayak, Director of Cloud & Infrastructure Solutions, CTG
• James Maguire, Editor-in-Chief, eWeek [moderator]

Tweetchat Questions: the Future of Cloud Computing

The questions we’ll tweet about will include the following – check back for more/revised questions:

1. I’m just checking: in 2023, the only tech topic that people discuss is AI. So…yawn…does cloud still matter? (Hint: yes, more than ever.)
2. What key trends are driving the cloud sector here in late 2023?
3. What’s the most vexing cloud computing challenge today? Managing multicloud? Containing costs?
4. How do you recommend companies address this difficult challenge?
5. Okay, to the future: what shifts do you see in cloud as it evolves over the next few years?
6. How can companies best keep up with – or stay ahead of – these changes in cloud?
7. How will cloud computing be influenced by AI and generative AI?
8. What about the future of cloud and a related technology (besides AI)? How about the future cloud and edge, or cloud and data?
9. Your longer term sense of the cloud? What’s off in the misty distance?
10. A last Big Thought about cloud computing – what else should managers/buyers/providers know about enterprise cloud?

How to Participate in the Tweetchat

The chat begins promptly at 11 AM PT on October 17. To participate:

1. Open Twitter in your browser. You’ll use this browser to Tweet your replies to the moderator’s questions.

2. Open Twitter in a second browser. On the menu to the left, click on Explore. In the search box at the top, type in #eweekchat. This will open a column that displays all the questions and all the panelists’ replies.

Remember: you must manually include the hashtag #eweekchat for your replies to be seen by that day’s tweetchat panel of experts.

That’s it — you’re ready to go. Be ready at 11 AM PT on September 12 to participate in the tweetchat.

NOTE: There is sometimes a few seconds of delay between when you tweet and when your tweet shows up in the #eWeekchat column.

#eWEEKchat Tentative Schedule for 2023*

July 25: Optimizing Generative AI: Guide for Companies
August 15: Next Generation Data Analytics
September 12: AI in the Enterprise
October 17: Future of Cloud Computing
November 14: The Future of Generative AI
December 12: Tech in 2024: Predictions and Wild Guesses

*all topics subjects to change

The post eWEEK TweetChat, October 17: the Future of Cloud Computing appeared first on eWEEK.

Among the topics we discussed:

• The report notes that “As the generative AI marketplace expands and executives push for departments to leverage new solutions for competitive advantage, the need for an unstructured data governance agenda is strong.” Why is this true?
• Additionally, “To cope, enterprises are restricting the AI tools and/or data that employees are allowed to use, according to the survey. IT leaders are also pursuing a multi-pronged approach for mitigating risks of unstructured data in AI, encompassing storage, data management and security tools as well as internal task forces.”

Highlights of the Survey:

• Most organizations (90%) allow employee use of generative AI yet 66% of organizations cited top data governance concerns of preventing security and privacy violations, lack of data source transparency leading to unethical, biased or inaccurate outputs and corporate data leakage into the vendor’s AI model;
• Preparing for AI is the leading data storage priority in 2023, followed by cloud cost optimization;
• The majority (40%) will pursue a multi-pronged approach to manage AI risk, encompassing storage, data management and security tools;
• Organizations managing more than 10PB of data grew from 27% to 32% this year, a 19% increase;
• Half of organizations are managing 5PB or more of data, similar to 2022;
• Nearly three-quarters (73%) are spending 30% or more of IT budget on data storage and protection, measurably higher than 67% in 2022;
• The top unstructured data management challenge is moving data without disrupting users and applications (47%), followed closely by preparing for AI and cloud services (46%);
• Most (85%) say that non-IT users should have a role in managing their own data and 62% already have attained some level of user self-service for unstructured data management;
• Monitoring and alerting for capacity issues and anomalies led the pack for important future unstructured data management capabilities (44%).

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The post Komprise President Krishna Subramanian on Generative AI and Unstructured Data appeared first on eWEEK.

Among the topics we discussed: 

• How do you see the rise of generative AI affecting enterprise workflows?
• What’s your take on the current data market? Will companies need their own LLM? That seems cost prohibitive for most companies.
• You’ve mentioned the role of vector databases in making companies more competitive with AI. How so?
• The future of generative AI in the enterprise? What major milestones do you see in the next 12-24 months?

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The post DataStax CEO Chet Kapoor on the Data Market and AI appeared first on eWEEK.