
James Maguire31


















Q4. Biggest Loser? Which tech sector will see the greatest loss in momentum in 2022?

Charlie Ashton
A4: The Metaverse: after the hype, where are the use cases? And how will the ecosystem address the technology costs around low latency and the necessary high-bandwidth mesh of edge cloud sites?

Sujatha Sagiraju
A4: Data sourcing that doesn’t meet data privacy expectations will see a big loss in 2022.

Paul Speciale
A4. Optimistic view: all tech has rising demands from growing enterprise, service provider and government usage, so no real loser. Realistically: hardware will take a hit due to supply chain issues (servers, network, disks).

Rod Simmons
A4: While AI/ML is a huge buzz term, for enterprise software this has an upside cap in the short term. Not only are people tired about hearing of a vague term that means everything and nothing, in 2022 people want results.

Bruce Kornfeld
A4 The Cloud. Momentum will slow due to the cost and performance for the needs of edge computing.

James Maguire
@pspeciale No one ever loves hardware (Course it does support everything....)

Paul Speciale
@brucekornfeld - we agree, the smart companies are taking a balanced - aka "hybrid" approach.

Pascal
A4. On-premise and appliance-based enterprise tools are doomed. Their days are quite literally numbered as the vast majority of organizations move forward with cloud transformation of critical infrastructure.
Steven Mih
A4: The Metaverse with trough to unrealistic expectations, coming back to be a thing later this decade, as video games first.
Steven Mih
@cdashton totally agree

Bruce Kornfeld
@marsanfra funny - we are at opposite ends of the spectrum. I think just the opposite. Cloud can't solve all problems.

Michael Waldrop
A4: Maybe all things VM related in favor of k8s.

Chris Ehrlich
A4: Single cloud engagements, as companies diversify their cloud presence and storage architecture. #eweekchat

Andi Mann
@RodSimmons Agree with this Rod. I am a huge fan of data and analytics, but the hype cycle is real, and ML to a large degree, AI almost completely, have failed to deliver enough. #eWeekChat

Paul Speciale
@marsanfra - I must say, we see a more balanced investment in hybrid infrastructures still as the general rule.

Rik Chomko
A4: RPA will slowly cede popularity to data in motion boosted by easy-to-use and accessible APIs. It won’t happen right away, but once developers and data scientists solve how to get the needed data in tandem with digital transformation efforts, RPA will become less of a focus

Harish Doddi
A4: Enterprise creating huge team to build internal biz apps. With the severe talent constrain, this strategy is akin to the mainframe strategy from years ago.

Pascal
@pspeciale I ran on-prem, hybrid and cloud infrastructures. Company need to make sure they understand why problems they are trying to solve.

Pascal
@brucekornfeld never said was solving all. The ones I mainly care about. Fast speed to iterate and scale.



