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Conference Updates

December 9, 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 1 and Day 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:

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.

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.

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The Future of Enterprise Data Centers in a Post-COVID-19 World

Presented by David Cappuccio, Distinguished VP Analyst, Gartner

As enterprises consider how to support their business’s compute capabilities, they must evaluate which workloads need to stay on-premises, which should migrate, and if they continue to manage their own data center or begin to use partners. In his session, David Cappuccio, Distinguished VP Analyst at Gartner, discussed what the future of the enterprise data center will look like in a post-COVID-19 world. 

Key Takeaways

  • “We need to think about optimizing computing to be location-agnostic. Work is no longer a place I go to, work is a thing I do.”

  • “For today’s data center, minimize movement, automate as much as possible, minimize risk and maximize value.” 

  • “Start looking at off-premises as a way to move workloads, not because you want to get away from your data center, but because you can solve specific business problems and enhance business, and even customer experience, by doing that.”

  • “If you need to control the data, and you need to control the location, you can do it with a distributed cloud environment.”

  • “The way that we’re looking at I&O today is changing dramatically over time, and we need to change from managing infrastructure to managing software platforms.”

5G Hype, Trends and Directions

Presented by Leif-Olof Wallin, VP Analyst, Gartner

The global 5G network infrastructure market will total $8.1 billion in revenue this year. In this session, Leif-Olof Wallin, VP Analyst at Gartner, discussed the promise of 5G, and the expected timeline and long-term adoption opportunities for businesses.

Key Takeaways

  • The promise of 5G is speed, massive IoT and low latency communications. The current version of 5G offers 1.2 gigabits per second, supports up to 1 million IoT sensors in a square kilometer, and delivers low single-digit mini second latency.

  • “What makes 5G more complicated than previous versions is that it has eight technology variations that operators can select and deliver. It also comes in multiple phases and releases.”

  • “Businesses will use 5G for high bandwidth IoT applications predominantly around video surveillance and analytics solutions. In the longer term, organizations will use the private 5G network to control drones, robots and manufacturing equipment in real time.” 

  • “Today if organizations have a pressing need, go with LTE, don’t wait. Near term, focus on 5G opportunities that need high bandwidth. Longer term, look for opportunities to exploit mobile edge compute.” 

  • “Don’t expect 5G to solve immediate enterprise problems, but long-term adoption is inevitable.”

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