eWEEK TweetChat, March 12th: How Tech Pros Get the Most From AI

On Tuesday, March 12th at 8 AM PST, eWeek will host its monthly #eWEEKChat. The topic will be How Tech Pros Get the Most From AI, and it will be moderated by James Maguire, eWEEK’s Editor-in-Chief.

In this TweetChat, experts share practical advice about how AI can boost productivity for today’s companies and the busy tech professionals they employ. Using X – formerly known as Twitter – we’ll explore strategies for maximizing competitive advantage from today’s hypergrowth in AI tools and software platforms.

See below for the resources you need to participate in the eWeek Tweetchat.

Participants List: Getting the Most From AI

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

• Joab Paiva, Partner Technical Sales Specialist, Intel
• Anil Inamdar, Global Head of Data Services, Instaclustr, NetApp
• Mark Hanson, VP of Technology and Business Innovation, Sony Semiconductor 
• Fredrik Nilsson, VP of the Americas, Axis Communications 
• Bernard Golden, Executive Technical Advisor, VMware 
• Jignesh Patel, Computer Science Professor, Carnegie Mellon University, Co-Founder, DataChat
• Manisha Khanna, AI Strategist, SAS
• Peter Guagenti, President and CMO, Tabnine 
• Aaron Rosenmund, Senior Director of Content Strategy & Curriculum, Pluralsight
• Arturo Buzzalino, Vice President of Product, Epicor
• AJ Sunder, Chief Product Officer and Chief Information Officer, Responsive
• Mark Kiser, Director of Strategy & Standards, SailPoint
• Igor Jablokov, CEO, Founder, Pryon
• Fedor Pak, CEO, Chatfuel
• Leonid Nekhymchuk, CEO, Co-Founder, Datuum.ai 
• Paul Baier, CEO, Co-Founder, GAI Insights
• Andi Mann, Global CTO and Founder, Sageable
• Max Vermeir, Senior Director of AI Strategy, ABBYY
• Zeus Kerravala, Founder and Principal Analyst, ZK Research
• James Maguire, Editor-in-Chief, eWeek [moderator]

TweetChat Questions: Getting the Most From AI

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

1. What’s a major challenge that companies face in using AI productively? Compliance issues, lack of training?
2. What advice would you give to companies to enable them to use AI more productively, at a staff level?
3. So many of today’s generative AI applications are hosted in the cloud. Is our local machine still a factor in getting the most from AI?
4. As a tech professional, what’s your personal view toward using AI? Has ChatGPT (and similar platforms) become a part of your routine? Why, why not?
5. If you use AI tools, what advice would you give to other tech professionals to boost their productivity with AI?
6. What about the buzz around the GPU and the NPU? How will the evolution of these processors influence AI for the daily work of the tech pro?
7. Do you have a favorite AI tool? Or an AI app you always avoid?
8. What are your concerns about your own use of AI tools? Data security? Accuracy of response?
9. What about the macro-trend toward the “democratization of AI”? How can our personal machines support wider access to AI for all users?
10. What’s one last big thought that your tech colleagues should know about getting the most from AI?

How to Participate in the TweetChat

The chat begins promptly at 8 AM PT on March 12th. 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 8 AM PST 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 2024*

January 16: Governing Generative AI
February 13: Data Analytics Best Practices
March 12: How Tech Pros Get the Most From AI
April 16: Managing Multicloud Computing
May 14: Optimizing Generative AI
June 11: Mid-Year Look Ahead: Future of Tech

*all topics subject to change