eweekchat

A6: I believe that AI will continue to change the way we live and that we are still in the early stages of AI adoption. Within a decade, every single application built will leverage AI.

A6. Yes. With machine learning becoming less complex due to low- and no-code applications, AI will continue to consume tech priorities as use cases expand in correlation to its ongoing rapid development.

A6: AI will continue to be deployed under the hood to improve operational efficiency in areas like network operations and e-commerce.

A6: No, but AI R&D, innovation, and pilots will take a material step forward. #eweekchat

A6: Broadly, no. In targeted use cases absolutely, and in cases where businesses and people leverage thoughtful automation for repetitive tasks that can be automated is where I see AI being useful in the short-run.

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A6. The hype has indeed been high, so it's doubtful to live up. On the other hand we see real applications in data security, storage operations (more specifically MLOps).

A6: I don't think the "killer use case" with broad appeal for AI and ML has appeared yet. Somebody will eventually find the more repeatable patterns that can be leveraged by the non-tech savvy industries.

A6. No, artificial intelligence is proving to be too high of a cost. Machine learning is more than sufficient to accomplish most tasks, especially in today’s world.

A6. Either 'no' or possibly 'hell no'. 😂. Seriously, it almost certainly never will. BUT!! that does not mean new developments in 2022 will not have significant impact. Need to remember Amara’s Law. #eWeekChat

A6: AI/ML will surpass its hype. It's really the lack of knowledge and maturity that hampers the adoption. Furthermore, there are too many fake AI players who
are creating all sorts of confusion. There are already many successfully AI use cases today.

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@AndiMann No robot rebellion in '22? Whew, relief!

A6: I think plenty of enterprises that are not at the leading edge are still constructing their data pipelines and analysis work before they can get more value out of AI/ML

we got to wait a bit longer for that.

A6: No, not to it's deafening hype but AI will transcend marketing/cust svc and add value at the core of businesses. We’ll see greater movements toward explainable, transparent AI that mitigates bias and allows automation to support humans in completing more mission-critical task

@AndiMann I so think we will see impact from ML/AI in 2022. But it will continue to be a step change, not radical. We won't notice it, but we will get incrementally better. Until we invent Skynet, that is. 😉 #eWeekChat

A6. I think that depends how AI is used - for example in Security, AI/ML is only as good as the features we supply it

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@marsanfra AI is not too expensive. It's only expensive when you have bad vendors who misled clients. We have seen it way too often.

No, I have that in my diary for 2023. We have time. 😂

I for one welcome my new robot overlords!

A6: However, I think AI and ML will continue to attract project dollars in search of finding more value.

A6: We're still in the early phases of AI adoption in the mainstream. This year we'll see a significant leap in the technology and applied to specific use cases. Once they catch up to what we want out of AI, it'll be a game changer. #opensource

@w3knight Generally true in ML/AI. Garbage in/Garbage out is only magnified exponentially by algorithmic processing. #eWeekChat

@AndiMann 100% agree

@WaldropMike Good prediction right there. The promise of ML/AI is so high - hype or not - that it will continue to grab imaginations and drain project funding. Hope we can make some of that time and money worth it! #eWeekChat

I have seen a significant evolution in how businesses are thinking about leveraging AI in the last 5-7 years. Few years ago, companies were trying to figure out whether they can leverage AI for their business. Now they are figuring out data and platforms needed to leverage AI.

A5: Look out for “Smart pavements”. I talked to James Thomason @ctosays, CTO at EDJX yesterday about what companies like @IntegratedRoads are doing to make roads pay for themselves by turning them into corridors for sensors and mobile connectivity.

A5: We will see sectors like construction and education which are traditionally not tech sectors transform by leveraging tech heavily. It will be similar to the transformation we have seen in the retail, transportation and seeing now in healthcare.

A1 The decline of cloud computing. Users are realizing that not all use cases and applications/data can be in the cloud. Its just too expensive in many cases.

@SujathaSagiraju Feels like a sure bet.

A5 - Surprise: The world is not ready for the sheer quantity of tech labor needed. We decided to build the Tower of Babel and neglected to see if there are even enough bricklayers available to help build.

A5 - Shocker: The 4-year degree is dead in technology. The rise of boot camps and quick turnaround tech training transitioning into training on the job will be the only way we can keep pace.

A5. A scary thought is we'll see the use of AI in ransomware attacks. This again demands protection strategies.

A5. Expanded exploitation of containers will lead to endpoint resource takeovers. Exploitation of the public-facing applications (MITRE T1190) is a technique often used by APT and Ransomware groups which could lead to endpoint resource hijacking, container escapes etc in 2022

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A5. AR. I think VR is (mostly) just for play, but I have a feeling that 5G, cloud, lockdowns, video, and remote work all come together in AR. And more than just meetings - real work. #eWeekChat

A5 (2): A major public cloud provider will emerge in Europe, to be a serious competitor to the big 3 hyper-scale vendors.

@marsanfra I would add that expensive "Name Brand" college degrees will start to cede to more rapid ways for kids to develop their skills at a more economical price point.

A5: We'll start to see open source technology, developed by the community, top the performance benchmark charts over proprietary technology, across all technology categories. This will accelerate adoption of open solutions further within enterprises.

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A5: Competition for first-mover marketing for the seeded, if distant, metaverse and the associated rate of perceived acceleration of AR and VR. #eweekchat

@pspeciale Care to give a name?

@AndiMann Example of the application of #AR - my biz (@Qumu) recently helped a car company with a remote launch. Filmed with 360-degree cameras inside the vehicle so dealers could check it out , all emote. A fundamental shift in what this event can be. #eWeekChat

@pspeciale AI is expensive, will it be worth the investment?

Orange, Jaguar Networks, and Dassault Systems all have initiatives here. GAIA-X is a force behind Euro tech, cloud and data sovereignty.

@cdashton O wow! I had not thought of or seen then - but can only imagine. Not convinced this is a 'good thing'! #eWeekChat

@pspeciale ovh?

@marsanfra - no doubt, they are a player. I see increasing activity in the enterprise "sovereign" cloud arena.

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?

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

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).

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.

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

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

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

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.

A4: The Metaverse with trough to unrealistic expectations, coming back to be a thing later this decade, as video games first.

@cdashton totally agree

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

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

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

@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

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

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

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.

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

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