A1: Need for cloud startups to communicate strong ROI, namely in the form of increasing revenue or cutting costs. If you can't clearly articulate how you contribute to either, your deals are being pushed out.
A2. With smaller budgets, teams & a focus on driving business results, IT is looking at faster ways to roll out & manage projects, so Network as a Service - or #NaaS - is no longer taboo and will see expanded adoption
A2: (1/2) We predict that AI-based technologies will rapidly get much, much better. Advances in predictive, chatbots and NLG, and other statistical functions will make it far easier for businesspeople to get a handle on what data means, #eweekchat
A2. Economic uncertainty will put additional momentum behind the technology that makes #reshoring possible. The rise of resilient, software-driven #automation will help mitigate the transformation barriers. #eWEEKChat
A2. Given economic conditions, the market has become increasingly pragmatic. As a result, 2023 will feature practical uses for technology, asking: How is it growing revenue and saving costs. This strengthens the opportunity Voice AI, which offers both propositions.
A2: (2/2) and the tooling to run and deliver these capabilities will be easier to use and require less and less involvement from data scientists. #eweekchat
A2: #EdgeComputing will create ample opportunity for organizations to leverage each piece of #data to move faster than competitors, to create exciting workplaces for their employees, and ultimately better serve their customers.
A2: In 2023 we will start to see Generative AI being used for real, and we may not like it. E.g. we may see new, super-potent phishing powered by Generative AI. Imagine receiving phishing emails that sound convincingly like they're coming from your boss or a colleague. #eWEEKChat
A2: Most analysts think the flash/disk cutover is still several years out, but my prediction is that, outside of hyperscale cloud providers, new flash capacity will get within striking distance of new HDD capacity in 2023 - especially with NAND prices expected to decline.
Nobody wants to deal with servers anymore. #Serverless will continue to progress and even accelerate. Dealing with servers, even if they are virtual, will start to feel antiquated.
A2: The continuation of AI/ML into mainstream everyday living. It will impact most jobs across most industries. Chatbots are opening eyes to possibilities. Not all change will be welcome
A2. IT/Networking teams will begin to thin out, and there is little help on the horizon. The Great Reshuffling has left a lot of companies already looking at how they replace talent. The work-from-home phenomenon means that the tech giants can hire from anywhere.
A2. What used to be local monopolies on talent in non-silicon-valley places is now a fertile recruiting ground for cloudscale companies with a desire to lower their costs.
A2. And of course there is an aging contingent of network engineers born in the late 90s and now rapidly approaching retirement. Today, people are majoring in cloud, not vendor-specific networking. And that means teams will need to recruit folks with different skills.
A2. Much like my answer to Q1, now that generative AI solutions like ChatGPT are out in the world, I think we'll see many services interacting with or monitoring these applications. Someone has to make sure that students are still writing their own papers after all
A2: SQL workloads will explode as more NLP and other ML applications generate SQL. While data analysts and scientists continue to uncover insights using SQL, increasingly we’ll see apps that “speak SQL”, driving a lot of compute!
(Q2) Our assumptions about open source are going to be turned on their head. We have assumed it is cheap/free, and increasingly secure supply chain concerns (including legislation in both the US and EU) will change that.
@hollandcbarry It is amazing how fast we turned from growth at all costs, to cost-effective growth. Cost will definitely be a continuing trend in 2023.
A2: increased scrutiny on the "SaaS Metrics" model that has not seen a major update since the popularization of the cloud model 10+ years ago. What are the actual leading indicators to how profitable a cloud company can be?
(Q2) This change to the cost of open has been coming for a while, so in some sense it won’t be shocking, but it’s still going to be a hard challenge for a lot of orgs—because open underpins *everything*.
@Benaroni Agree. And I think this opens the door for more investment in monitoring and AIOps tools to offset the loss of people in those roles #observability
A1: The Open Source SaaS market has shifted towards open source managed services. As data and analytics workloads proliferate in the public cloud accounts, and as IT departments demand more control of their own data and applications, we’ll see even more adoption of cloud native m
A1. “Lift and shift” often didn’t work as planned. A lot of companies moved to the cloud on the premise that costs would be lower. But it turns out that doing the same exact thing from a different location doesn’t always have the tangible benefits you had hoped.
A1 – AI/ML adoption has driven meaningful outcomes and competitive advantages for businesses. There seems to be a general awareness this year that having an AI strategy is no longer optional.
A1: In @tidelift’s corner of enterprise, it was absolutely security, and particularly secure supply chain and how that interacts with open source. After we all spent last holidays dealing with log4j, 2022 was about our longer-term solutions to that.
A1. #Manufacturers are changing how they work with a more distributed, location-agnostic approach to production so they can make better products in nimbler, smaller, and more #sustainable factories. #eWEEKChat@brightmachines
IT teams had to improve efficiencies due to shrinking budgets, more devices, & difficulty hiring skilled personnel, so automation drove conversations. Anything from SD-WAN & orchestration tools to user experience visibility using #AI / ML were top of mind
A1. Recency bias requires that we mention ChatGPT. I think this is the first time that AI has made me feel uncomfortable, like if I was the protagonist in a movie the audience would be begging me to shut it down before it inevitably destroys mankind.
A1: In 2022 the world was flabergasted by Generative AI. We all saw the headlines about DALL-E and ChatGPT; we all saw astounding examples of what these AIs could do; and some of us even tried them out for ourselves. The technology is now here and readily available. #eWEEKChat
A1 The continued march of AI and ML, now entering mainstream awareness. DALL-E 2 and now ChatGPT are mind-blowing for regular citizens. How many of us our using ChatGPT to power our answers today? (j/k ChatGPT doesn't want to make such predictions...yet)
A1: A lot happened in 2022, but to me the affirmation of the Metaverse as an inevitable future reality stood out. That said, like most great technologies, success is often a matter of timing. So it’s no longer an “if” but “when”...
A1: AI tools for generating art really came into their own this year. While we first got to see picture and prose tools in prior years, this year they became widely available and far more capable. Pandora’s Box is now officially open.
A1: I think the major tech trend that has shaped most this year is the concept of doing more with less. In 2021 we were in growth mode and the mentality was spend and hire. 2022 has been all about being more efficient and getting more done with fewer resources.
A1. “Lift and shift” often didn’t work as planned. A lot of companies moved to the cloud on the premise that costs would be lower. But it turns out that doing the same exact thing from a different location doesn’t always have the tangible benefits you had hoped.
A1: (1/2) For us at @Sisense, the shift towards using data to drive user experiences in software (and away from trying to teach everyone to use specialized data tools) Predictive analytics are making a big impact in business now, and the demand #eweekchat
@mizago The metaverse still seems distant to me. The jury is still out if this is an "if". I certainly appreciated in-person interactions much more this year after 2 years of Covid lockdown.
A1: 2022 was the year of post-quantum cryptography (PQC). Quantum computers will soon defeat nearly all the encryption used by our systems and networks today. 2022 was a landmark year in developing our response to that looming threat.
A1: (2/2) to incorporate them into every aspect of work has virtually every ISV building products with data insights wired directly into end user experiences. #eweekchat
A1: #DataOps has really evolved over the past year and has become one of the most effective ways to manage and integrate organizational data so that enterprises can adjust, respond, predict and act autonomously. ChatGPT also holds a ton of promise.
A1: The Open Source SaaS market has shifted towards open source managed services. As data and analytics workloads proliferate in the public cloud accounts, and as IT departments demand more control of their own data and applications, we’ll see even more adoption.
@crosby_justine along those lines, it seems that just about every company has normalized a more distributed, location agnostic approach to their business. The Pandemic has largely been contained, but work is still remote
@RobertBlumofe One consequence is the defeat of traditionally trusted media like video and voice. You can now receive a phone call that sounds like someone you know and can't trust it's real. You can see a video and cannot trust it is real. This change will be hugely impactful.
