Results

Archetype AI raises $13 million in seed funding, launches Newton physical world foundation model

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Archetype AI has raised $13 million in seed funding and launched Newton, a foundational model that is built to understand the physical world via data signals from accelerometers, gyroscopes, radars, cameras, microphones, thermometers and other environmental sensors.

Newton aims to take physical data and combine them with natural language to provide insights about the physical world. Architype AI's funding round was led by Venrock and included Amazon Industrial Innovation Fund, Hitachi Ventures, Buckley Ventures and Plug and Play Ventures.

Archetype AI's Newton highlights how foundational models continue to evolve at a rapid clip. While large language models have focused on language and image patterns, there is plenty of room for more niche use cases. Archetype AI describes Newton as "a first-of-its-kind physical AI foundational model that is capable of perceiving, understanding and reasoning about the world."

Ivan Poupyrev, CEO and co-founder of Archetype AI, said the company's mission is to solve the biggest problems which are "physical, not digital." "Our goal is to encode the entire physical world so we can derive meaning from the signals all around us and create new solutions to problems that we previously couldn’t understand," he said.

Newton is designed to scale across any kind of sensor. In theory, Newton could bring insights to the Internet of things as well as trillions of sensors in multiple industries. Archetype AI is an example of a foundational model company that can work through multiple verticals and use cases.

Speaking at an AWS analyst meetup, Matt Wood, VP of AI at AWS, was asked about whether foundational models would be commoditized quickly. After all, the LLM layer is likely to be abstracted with models being swapped as easily as cloud instances. Wood said foundational models are unlikely to be commoditized. Instead, these models will become more specialized.

Wood said:

"There is so much utility for generative AI. You're starting to see divergence in terms of price per capability, but I think that we're talking about task models, industry-focused models, vertically focused models and more. There's so much utility that I doubt these models are going to become commoditized."

Related: CEOs aim genAI at efficiency, automation, says Fortune/Deloitte survey | Why you'll need a chief AI officer | Enterprise generative AI use cases, applications about to surge

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DataStax acquires Logspace and its Langflow platform

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

DataStax said it will acquire Logspace, which is the company behind Langflow, an open-source framework for retrieval-augmented generation (RAG) applications. Logspace's Langflow team will continue to run independently with a focus on development and community.

Langflow features visual tools to iterate on data flows and build LangChain RAG applications and deploy them in a click.

With the move, DataStax aims to create an integrated generative AI stack to create applications. DataStax will integrate Langflow with its DataStax Astra DB and Python libraries.

Constellation Research analyst Andy Thurai noted that DataStax needed to upgrade its platform for building RAG-based applications. "DataStax had its own version of software to build RAG-enabled applications called RAGStack, which combined LangChain, LLaMaIndex, and more," said Thurai. "RAGSTack was as the best open-source option for implementing RAG, but it was difficult to use."

Thurai added Langflow will give DataStax the ability to create conversation flows with large language models, chatbots and virtual agents without extensive coding.

Doug Henschen, analyst at Constellation Research, said DataStax's purchase of Logspace keeps pace with where the industry is going. He said:

"For DataStax, this acquisition clearly improves DataStax’s ability to support RAG. Other DB services, like MongoDB and DataStax competitor Azure Cosmos DB, have also added support for vector embedding, vector search and RAG, but it’s early days for everybody. Another competitor adding vector embedding capabilities is Amazon with DynamoDB, so they’re clearly heading in the same direction. It takes time to add such capabilities and gain adoption, so the LangFlow acquisition is all about acceleration while AI interest is peaking."

Data to Decisions Chief Information Officer

AWS' Matt Wood on model choice, orchestration, Q and evaluating LLMs

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Matt Wood, Vice President of AI at AWS, outlined how enterprises will mix and match multiple models depending on use case, the need for orchestration and how regulated industries may have an advantage in adopting genAI.

Wood spoke with industry analysts including me and Doug Henschen at AWS' New York offices. Here are some of the key themes to note.

AWS is differentiating on ensuring customers retain IP and confidentiality. Unlike competitors, Wood says AWS "does not mix training data for models with customer data" and "does not allow any human review" of training data. The key competitor cited was Azure OpenAI.

Wood said:

"There is a schism appearing in some customers' minds, where you have to be willing to give up some level of IP protection or confidentiality or privacy of your data in order to be successful with generative AI. And that just is not the case on AWS. Customers are unwilling to do that in any of the industries, particularly those in regulated industries."

Regulated industries are traditionally known as technical laggards, but these enterprises are all over generative AI. Regulated industries such as financial services, insurance and health care are "moving slightly faster than the average" on generative AI.

Wood said:

"A lot of the regulatory approaches and compliance that those organizations have been working on for the past 20 years actually set them up very well to work with generative AI. All the governance, privacy and security data standards allow you to be able to get to utility and value with generative AI very quickly."

"Companies are starting to develop muscle around model evaluation" and they are "no longer tightly coupling to single models," said Wood. Doug Henschen's take: "That's consistent with what we hear from GCP and even Microsoft, but Wood insists AWS will be "Switzerland" and Bedrock will remain differentiated on model diversity."

Wood said model choice is the only way to go in the long run. "Other providers are very married to a very small subset of models. And what that means is that customers end up having to approach a model a bit like a Swiss Army knife, which sounds great, except If It's a contractor turned up to fix your house and all they had was a Swiss Army knife, you would not be very happy."

Ultimately, enterprises will toggle between speed, use case and cost when managing model portfolios. Wood added that this portfolio management of models is already carrying over to compute. He said if training speed is needed Nvidia GPUs get the call, but if cost is more of a factor AWS' Trainium chip is an option. Wood said interest among the customer base is split about 50/50 between the need for speed and cost.

Model orchestration will become critical. "What we've seen is that a big part of success in the actual broad production use of generative AI is being able to access the right model for the right use case," said Wood. "Different models operate and have different use cases and have different sweet spots. The real kind of superpower for generative AI is the combination of those models and the compounding effect on the aggregate intelligence of the system."

Orchestration of models in Bedrock will evolve over time so enterprises can leverage multiple models. Wood said orchestration of models today requires hardcoded rules to data, but as models improve to handle more tasks generative AI will be able to play point guard better.

Q leverages multiple models based on specialty and use cases. "Amazon Q is the easy button for Generative AI" and it provides all the GenAI many companies want to use, said Wood. He specifically touted "a step-function change" in digital transformation and migration projects, such as Windows to Linux moves. Henschen said cloud migration will be an important use of GenAI and an accelerator and cost saver for customers looking to migrate off legacy platforms and onto modern, cloud platforms.

Wood noted that Q runs on a variety of models via a series of expert agents.

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Palantir will move workloads to Oracle Cloud as both court governments and enterprises

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Palantir will move its workloads to Oracle Cloud Infrastructure in a partnership that also includes the two companies jointly selling to governments as well as enterprises.

The partnership will combine Palantir's AI platform and Oracle Cloud Infrastructure. The deal has multiple parts to it, but the gist is that the two companies plan to jointly target governments and enterprises with Oracle distributed cloud and AI infrastructure and Palantir's AI Platform (AIP) and Foundry decision support platform.

Both companies are seeing strong growth among governments looking to keep data in-country.

Enterprise generative AI use cases, applications about to surge | Palantir posts strong Q4, sees enterprise traction in US | Palantir's commercial business scales with help of AI boot camps

Here's a look at the moving parts of the partnership:

  • Palantir will move its Foundry workloads to OCI.
  • Palantir's Gotham and AIP will be available in OCI's public cloud as well as Oracle Cloud Infrastructure Dedicated Regions, Oracle Alloy, Oracle EU Sovereign Cloud, Oracle Government Cloud and Oracle Roving Edge.
  • Oracle will workloads and an increase in ongoing cloud revenue.
  • Both companies will jointly sell and support cloud and AI services across government and commercial accounts.

The Oracle and Palantir combination will line up against C3 AI in government and enterprise accounts. C3 AI has partnerships with Microsoft Azure, AWS and Google Cloud.

Data to Decisions Oracle Chief Information Officer

CEOs aim genAI at efficiency, automation, says Fortune/Deloitte survey

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

CEOs are ramping up generative AI adoption as they shift from pilots to active usage, according to the Winter 2024 Fortune/Deloitte CEO survey.

The survey, based on 107 CEOs mostly in the US, found 56% of respondents rank efficiency and productivity as the primary benefit. According to the survey, 58% of CEOs say they are already implementing genAI to automate manual tasks, up from 40% in October, and 45% say they are reducing operating costs.

Going forward, CEOs are looking to balance costs and innovation. Fortune/Deloitte said 51% of CEOs are implementing genAI to accelerate innovation.

A few key generative AI adoption stats from the survey:

  • 50% of CEOs say they are using AI to automate content generation.
  • 42% say genAI is writing code.
  • 56% are using genAI to increase efficiencies.

Related: Middle managers and genAI | Why you'll need a chief AI officer | Enterprise generative AI use cases, applications about to surge

Other takeaways include:

  • Geopolitical instability was rated as the primary disruptor by 65% of CEOs surveyed.
  • 27% of CEOs express optimism about the global economy, up from 7% in the fall of 2023.
  • 22% of CEOs have high optimism about their companies.

Data to Decisions Future of Work New C-Suite Innovation & Product-led Growth Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity ML Machine Learning LLMs Agentic AI Generative AI Robotics AI Analytics Automation Quantum Computing Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain Leadership VR B2B B2C CX EX Employee Experience HR HCM business Marketing Metaverse developer SaaS PaaS IaaS Supply Chain Growth eCommerce CRM ERP finance Social Healthcare CCaaS UCaaS Customer Service Content Management Collaboration M&A Enterprise Service Chief Executive Officer Chief Information Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer Chief Digital Officer

Low code platforms will become strategic to CxOs

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Generative AI and automation will mean low-code coding platforms will become strategic for enterprise transformation efforts. By 2025, Constellation Research estimates more than two-thirds of enterprises will have a standardized low-code tool in house.

That's a big takeaway from Constellation Research analyst Holger Mueller, in a recent published report Key Trends for Low Code in 2024 and Beyond. Mueller wrote:

"Enterprises need to own their digital transformation destiny by creating software assets that enable what matters. Enterprise Acceleration is an all-encompassing enterprise strategy that aligns people and technology so they can become more agile and move faster. The emergence of generative artificial intelligence (GenAI) only exacerbates the need for low-code platforms that enable enterprises to build the next-generation platforms they need in order to be winners in the era of digital transformation."

In many ways, low-code platforms will be critical as a bridge between human built code and code via software robots and agents.

Mueller outlined the following CxO considerations when thinking about low code strategies this year and beyond.

  • Begin with a low-code mindset. Enterprises can't ignore the importance of low-code platforms as an enabler to digital transformation effort.
  • Standardize low-code platforms, but make sure governance is so restrictive that it hampers developers.
  • Select low-code platform vendors that can leverage generative AI because processes are going to be automated at a rapid rate.
  • Know how low-code platforms interact with your standard applications. CxOs will have to balance enterprise application platforms and low-code offerings.
  • Understand your total cost of ownership with low-code platforms to avoid higher software portfolio costs.

More low code platform resources and news:

Next-Generation Customer Experience Tech Optimization Chief Information Officer Chief Technology Officer

The Ins and Outs of Confidential Computing | Interview with Steve Wilson

Steve Wilson
Former Vice President and Principal Analyst Constellation Research
Steve Wilson is former VP and Principal Analyst at Constellation Research, leading the business theme Digital Safety and Privacy. His coverage includes digital identity, data protection, data privacy, cryptography, and trust. His advisory services to CIOs, CISOs, CPOs and IT architects include identity product strategy, security practice benchmarking, Privacy by Design (PbD), privacy engineering and Privacy [or Data Protection] Impact Assessments (PIA, DPIA). Coverage Areas: - &nbsp;Identity management, frameworks &amp; governance<br>- &nbsp;Digital identity technologies<br>- &nbsp;Privacy by Design -&nbsp; Big Data; “Big Privacy”<br>- &nbsp;Identity &amp; privacy innovation Previous experience: Wilson has worked in ICT innovation, research, development and analysis for over 25 years… Read more
Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Constellation analyst Steve Wilson sits down with Editor-in-Chief Larry Dignan to explain the definition, importance, and future of confidential computing for enterprise technology.

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/eziYReRFkPQ?si=5z_wXZ8S9G5uyAVB" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

Databricks LLM, Confidential Computing, Zoho Software | ConstellationTV Episode 77

Dion Hinchcliffe
Dion Hinchcliffe
Vice President and Principal Analyst Constellation Research
Title:&nbsp;About Dion Hinchcliffe Dion Hinchcliffe is an internationally recognized business strategist, bestselling author, enterprise architect, industry analyst, and noted keynote speaker. He is widely regarded as one of the most influential figures in digital strategy, the future of work, and enterprise IT. He works with the leadership teams of large enterprises as well as software vendors to raise the bar for the art-of-the-possible in their digital capabilities. He is currently Vice President and Principal Analyst at Constellation Research. Dion is also currently an executive fellow at the Tuck School of Business Center for Digital Strategies.&nbsp;He is a globally recognized industry expert on the topics of digital transformation, digital workplace, enterprise collaboration, API… Read more
Doug Henschen
Former Vice President and Principal Analyst Constellation Research
Doug Henschen is former Vice President and Principal Analyst where he focused on data-driven decision making. Henschen’s Data-to-Decisions research examines how organizations employ data analysis to reimagine their business models and gain a deeper understanding of their customers. Henschen's research acknowledges the fact that innovative applications of data analysis requires a multi-disciplinary approach starting with information and orchestration technologies, continuing through business intelligence, data-visualization, and analytics, and moving into NoSQL and big-data analysis, third-party data enrichment, and decision-management technologies. Insight-driven business models are of interest to the entire C-suite, but most particularly chief executive officers, chief digital officers… Read more
Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more
Steve Wilson
Former Vice President and Principal Analyst Constellation Research
Steve Wilson is former VP and Principal Analyst at Constellation Research, leading the business theme Digital Safety and Privacy. His coverage includes digital identity, data protection, data privacy, cryptography, and trust. His advisory services to CIOs, CISOs, CPOs and IT architects include identity product strategy, security practice benchmarking, Privacy by Design (PbD), privacy engineering and Privacy [or Data Protection] Impact Assessments (PIA, DPIA). Coverage Areas: - &nbsp;Identity management, frameworks &amp; governance<br>- &nbsp;Digital identity technologies<br>- &nbsp;Privacy by Design -&nbsp; Big Data; “Big Privacy”<br>- &nbsp;Identity &amp; privacy innovation Previous experience: Wilson has worked in ICT innovation, research, development and analysis for over 25 years… Read more

🎬 ConstellationTV episode 77 is here! Watch co-hosts Doug Henschen and Dion Hinchcliffe analyze the latest #enterprise tech news with Larry Dignan (AT&T data dump, Microsoft security pledge, Databricks new open-source LLM). 

Then Constellation analyst Stephen Wilson explains the concept of confidential #computing and Doug hears from Kris James of Sparex Limited about his experience using Zoho #technology. Watch until the end for bloopers!

0:00 - Introduction
1:12 - #Enterprise tech news coverage (AT&T data dump, Microsoft security pledge, Databricks new open-source #LLM)
19:50 - The Ins and Outs of Confidential Computing
30:44 - #ZohoDay2024 interview with Kris James, Sparex
38:18 - Bloopers!

ConstellationTV is a bi-weekly Web series hosted by Constellation analysts, tune in live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday!

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On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/cpTcU6qkIkY?si=_juSSahccZViRotC" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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Data scientists, cybersecurity analysts in high demand, says CompTIA

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

CompTIA is projecting that data scientists and analysts, cybersecurity analyst and engineers and software developers will see the most job growth in 2024 as hiring trends normalize.

Those in-demand roles are expected to post the most job growth over the next decade.

The projections in CompTIA's State of Tech Workforce 2024 report forecasts 300,000 net new IT workers this year, a gain of 3.1%. IT job growth in 2023 was 1.2%.

CompTIA acknowledged that the forecast doesn't account for the most recent trending data from monthly reports. CompTIA's forecast includes tech employment in the tech sector as well as tech-related positions.

According to CompTIA, its tech workforce report is based on data from the US Bureau of Labor Statistics and Lightcast.

CompTIA said in its report:

"Calculating future workforce needs over the next decade is a function of several variables. There is a growth component, which may entail organizations adding headcount due to expansion or possibly to support new emerging technologies. There is a retirement factor, with a portion of the workforce transitioning away from the labor market permanently. And lastly, there is a segment leaving the workforce for some other reason, also referred to as separations. These may stem from a career change, layoffs, a return to school, family pursuits, or other. Changes to any of these variables will affect future workforce projections."

Indeed, it's unclear whether positions today will equate to demand in a decade. Constellation Research analyst Holger Mueller said:

"We are seeing the last hurrah for data scientists and cybersecurity specialists – as CxOs need to make sense of their data (for data scientists). But traditional hiring for data scientists will give way to AI specialists. The college kid who played with prompts may  easily be more valuable for the job than any data scientist, even if tied down in an AI project. As for cybersecurity, we will see the same. Software will do more and more, and AI will help identify threats and mitigate them. Both jobs are moving from operator led to self-driving – sooner than traditional projections make us think."

Among the key data points in the report:

  • CIO and IT director job growth in 2024 is projected to be 3.6%, a rate on par with Web developers and interface designers.
  • Since 2018, the IT services and custom software services category has accounted for 50% of job gains.
  • 45% of the tech workforce works for technology companies with the remainder spread across multiple industries.
  • Net tech employment in the US was an estimated 9.62 million workers.
  • The replacement rate for tech occupations during 2024 to 2034 is expected to be 6% annually, or 350,000 workers each year.
  • The US Bureau of Labor Statistics doesn't break out emerging tech roles yet, but new specialties such as jobs involving artificial intelligence are contributing to workforce growth.
  • California is No. 1 in net tech employment by a wide margin followed by Texas, New York and Florida.
  • Top metros by net tech employment are New York City, Washington DC, Los Angeles and San Francisco.

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Quantinuum, Microsoft claim quantum reliability breakthrough

Larry Dignan
Editor in Chief of Constellation Insights Constellation Research
About Larry Dignan: Dignan was most recently Celonis Media’s Editor-in-Chief, where he sat at the intersection of media and marketing. He is the former Editor-in-Chief of ZDNet and has covered the technology industry and transformation trends for more than two decades, publishing articles in CNET, Knowledge@Wharton, Wall Street Week, Interactive Week, The New York Times, and Financial Planning. He is also an Adjunct Professor at Temple University and a member of the Advisory Board for The Fox Business School's Institute of Business and Information Technology.&nbsp; <br>Constellation Insights does the following: Cover the buy side and sell side of enterprise tech with news, analysis, profiles, interviews, and event coverage of vendors, as well as Constellation Research's community and… Read more

Quantinuum and Microsoft have claimed a breakthrough in fault tolerant quantum computing that can lower error rates and improve reliability.

Fault-tolerant quantum computing has been the Holy Grail for the industry as vendors and researchers race to minimize errors. Quantinuum, which recently raised $300 million, is the product of the merger between Honeywell Quantum and Cambridge Quantum Computing in 2021.

According to Quantinuum and Microsoft, teams from both companies were able to create four logical qubits that demonstrate error rates 800 times lower than corresponding physical error rates. The teams were able to run 14,000 independent instances without errors. Here's the full technical paper. 

The system used in the effort featured Quantinuum's 32-qubit H2 quantum processor from Honeywell with Microsoft's error correction. In a blog post, Microsoft said the breakthrough "finally moves us out of the current noisy intermediate-scale quantum (NISQ) level to Level 2 Resilient quantum computing."

The industry is looking to quantum use cases that can be used with supercomputing systems in a hybrid way that incorporates AI, supercomputing and quantum computing.

Microsoft said the technology behind the Quantinuum collaboration will be available in Azure Quantum Elements in the months ahead.

Constellation Research analyst Holger Mueller said:

"Giving the fragile state of Qubits, a key focus is to reduce the error rate creating logical Qubits. The collaboration is both a proof of Honeywell’s H2 platform as well as Microsoft's work on error correction. Good to see the cooperation, but it also shows that to get to Quantum use cases in the enterprise, even the largest players can't do it alone."

More quantum computing:

 

Data to Decisions Innovation & Product-led Growth Tech Optimization Quantum Computing Chief Information Officer
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