Gartner IT Infrastructure, Operations & Cloud Strategies Conference: Day 3 Highlights
December 09, 2020 at 12:41 pm EST
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December 09, 2020
Gartner IT Infrastructure, Operations & Cloud Strategies Conference: Day 3 Highlights
We are bringing you news and highlights from the Gartner IT Infrastructure, Operations & Cloud Strategies Conference, taking place this week virtually in the Americas and EMEA. Below is a collection of the key announcements, and insights coming out of the conference. Here are the highlights from Day 1andDay 2.
On Day 3 from the conference, we are highlighting five traps that impact AI operationalization initiatives, what the future of data centers will look like in a post-COVID-19 world, and the hype around 5G. Be sure to check this page throughout the day for updates.
Key Announcements
Press releases and stories covering news from Gartner IT Infrastructure, Operations & Cloud Strategies conference are listed below:
Gartner Highlights Seven Elements for Creating an Enterprise Cloud Strategy
Gartner Identifies the Top Trends Impacting Infrastructure and Operations for 2021
Gartner Says Infrastructure-Led Innovation Will Drive Enterprise Resilience and Business Growth in a Post-Pandemic World
Smarter with Gartner: Gartner Top 6 Trends Impacting Infrastructure & Operations in 2021
Five Traps That Will Impact Every AI Operationalization Initiative and How to Avoid Them
Presented by Chirag Dekate, VP Analyst, Gartner
IT leaders often struggle to evolve artificial intelligence (AI) initiatives beyond POCs and pilots. Chirag Dekate, VP Analyst at Gartner, discussed five common traps that restrict AI operationalization and ways to deliver production AI.
Chirag Dekate, VP Analyst at Gartner, said AI delivers business value only where it is productionalized during the IOCS Conference in Americas and EMEA.
Chirag Dekate, VP Analyst at Gartner, said that 1 in 2 AI pilots never make into production, and when they do make into production, it takes 9 months to productionalize.
Chirag Dekate, VP Analyst at Gartner, highlighted five traps every AI initiative falls into when they go about productionalizing AI.
Key Takeaways
'The reason why we emphasize on AI operationalization is because AI delivers business value only where it is productionalized.'
Trap #5: The new tool we buy will help us scale our AI initiatives.
Instead, use the right mix of hybrid/multicloud/edge/IoT and create recipe books.
Trap #4: Waiting to hire the perfect 'unicorn' to operationalize AI projects.
Instead, reskill existing teams with AI operationalization systems engineering skills.
Trap #3: What works in AI pilots will scale in production.
Instead, complement your data science teams with diverse stakeholders from the I&O or EA teams, for example, so that they operate as a team.
Trap #2: Taking a 'set it and forget it' approach to AI.
Instead, track changes in data sources to identify data drift.
Trap #1: 'Ideating about AI' is more useful than actually 'implementing AI'.
Start with small AI projects that are driven by business use cases and requirements.
It's not too late to join the conference!
Register Now
View coverage from Day 1
View coverage from Day 2
Join us tomorrow for Day 4 Highlights coming out of the Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2020
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Gartner Inc. published this content on 09 December 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 09 December 2020 17:40:03 UTC
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