“2024 IT Service Management Vendor Rankings“ Brought to you by TeamDynamix 2024 IT Service Management Vendor Rankings  Leveraging insights from the comprehensive ITSM Data Quadrants, this asset highlights the leading ITSM vendors in the current market. The report offers an in-depth look at vendors’ performance based on various criteria, providing you with a well-rounded perspective of your options. Key points include: -Ease of ESM expansion: Our report emphasizes the importance of scalability, ensuring that your ESM can grow seamlessly with your business.-Distinctive functionalities: Discover unique and innovative features that set top-performing ITSM vendors apart from the rest.-Tangible business value delivered by our platform: Understand the substantial benefits and ROI that these ITSM solutions can bring to your organization.-Shopping for a new ITSM platform for the future? This report outlines essential factors to consider when evaluating ITSM vendors, helping you find the right ITSM tool tailored to your business needs.  By examining these elements thoroughly, you can make a well-informed decision that supports both your current objectives and long-term goals. Offered Free by: TeamDynamix See All Resources from: TeamDynamix Thank you This download should complete shortly. If the resource doesn’t automatically download, please, click here. Thank you This download should complete shortly. If the resource doesn’t automatically download, please, click here. source

By Adam Lidgett ( November 1, 2024, 8:05 PM EDT) — Information technology firm Unisys Corp. has agreed to settle claims that two former executives swiped confidential information and trade secrets before departing to work for a competitor…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

VMware introduced several cloud products and services during their Barcelona conference this year, including the newest version of the Tanzu DevSecOps platform, data engine integrations, and new edge appliances. Broadcom’s announcement that 50 VMware Cloud Service Providers now offer data sovereignty services may be of particular interest to European tech service buyers. Broadcom acquired VMware in November 2023. “As we approach the one year anniversary of VMware joining Broadcom, some of the biggest changes appear to be paying off,” wrote Prashanth Shenoy, Broadcom’s CMO and vice president of Marketing, Cloud Platform, Infrastructure, and Solutions, in a press release on Oct. 31. “We are leaner, more focused, have strong execution, and are delivering against our innovation roadmap.” VMware Tanzu Platform 10 available on Nov. 27 The Tanzu DevSecOps application platform’s newest version, VMware Tanzu Platform 10, will be available on Nov. 27, Broadcom announced. Platform 10 is the first instance of Tanzu to support self-managed, air-gapped environments. It supports both public and private cloud deployments and includes tools for generative AI governance. Purnima Padmanaban, general manager of the VMware Tanzu Division of Broadcom, Inc., said in a press release that some customers’ application deployments have gradually sprawled across different Cloud Foundry infrastructure foundations. Therefore, VMware added a new layer of abstraction to Tanzu Platform 10 to “simplify management, improve security and enable governance” for those customers in particular. SEE: Generative AI can amplify cloud security risks in enterprise data estates and cloud environments. (TechRepublic) In the new version, generative AI applications will appear on a tile in Tanzu like other Cloud Foundry applications. These applications can hook to VMware Private AI Foundation, which offers hosting on NVIDIA GPUs. VMware Tanzu Platform 10 also includes: Federal Information Processing Standards (FIPS) libraries in VMware Tanzu Spring. Configurations for native data services. Helm-based COTS application support with advanced cluster management for containers on VMware Tanzu Kubernetes Grid Integrated. A Cloud Foundry-like developer experience on Kubernetes for custom applications. More cloud security coverage VMware Cloud Foundation benefits from the new Tanzu Data Services A new service, VMware Tanzu Data Services, will provide VMware Cloud Foundation customers with self-service access to data engines such as Postgres. VMware’s goal is to reduce wait times and workloads for private cloud managers in various aspects of data services by handling data consumption, management, and support within VMware Cloud Foundation environments. VMware Tanzu Data Services integrates VMware Cloud Foundation’s automation and operations services with data engines. Image: Broadcom The data engines supported are Postgres, MySQL, RabbitMQ, and Valkey. Tanzu Data Services will be available in Broadcom’s first quarter of 2025, which starts in November of that year. VeloCloud Edge 4100 and 5100 appliances support edge AI With AI working its way into enterprise software, VMware has rolled out new tools for AI networking through VeloCloud. “For the better part of this decade, a focus on the edge has been on the horizon for most companies. However, recently, the adoption of AI and AI workloads have acted as an accelerant, shifting interest into proof of concepts and more deployments at the edge,” said Zeus Kerravala, founder and principal analyst at ZK Research, in a Broadcom press release. “One of the challenges to increased AI workload adoption is complexity and performance as businesses need to ensure the right technology is deployed in the right places.” Broadcom’s new offerings intended to make that complexity easier to navigate include: Faster identification and prioritization of new edge AI applications with the new VeloRAIN architecture. Broadcom says it will be able to identify encrypted application traffic that was previously unparsable by network optimization solutions. The prioritization aspect comes from Dynamic Application-Based Slicing, which sorts users by identity and attributes. Improved quality of service when networking over 5G or satellite with VeloRAIN. VeloCloud Edge 4100 and 5100 appliances are built to scale network and security services while requiring fewer devices for better edge workload support, including AI at the edge. The new appliances and new VeloRAIN architecture will be available in Broadcom’s Q1, which began on Nov. 4. Broadcom adds generative AI to its security suite Broadcom has added generative AI to its VMware vDefend threat intelligence product. The vDefend Intelligent Assist can help with threat detection, analysis, and remediation. Lastly, VMware Avi Load Balancer has been polished to “optimize load balancing for both VCF and Kubernetes environments to improve automation, resilience, and future-proofing operations,” according to the Broadcom press release. Both will be in general availability on Nov. 5. source

Apple has officially unveiled the 2024 MacBook Pro, powered by its most advanced chip to date, the M4. Available for preorder now, the new MacBook Pro joins the refreshed iMac and Mac mini in adopting the M4 processors, signaling a leap forward in speed and AI capabilities. Promising enhanced performance across all three configurations, Apple says the new device will launch Nov. 8 at a starting price of $1,599. “MacBook Pro is an incredibly powerful tool that millions of people use to do their life’s best work, and today we’re making it even better,” John Ternus, Apple’s senior vice president of Hardware Engineering, said in a press release. Must-read Apple coverage Learn more about each new MacBook model Each MacBook Pro comes equipped with Thunderbolt 4 or 5 ports, an HDMI port for up to 8K resolution, a SDXC card slot, a MagSafe 3 port for charging, and a headphone jack. The device comes in two colors: black or silver. The 2024 MacBook Pro line is differentiated by three versions of the M4 chip: The 14” MacBook Pro with M4 contains a 10-core CPU, 10-Core GPU, three Thunderbolt 4 ports, and up to 32GB of memory — with 16GB in the base model. It costs $1,599. The 14” or 16” MacBook Pro with M4 Pro is built for developers, professional artists, engineers, or other graphics-intensive business use cases. It contains a 14-core CPU, up to a 20-core GPU, and the M4 Pro chip itself, which can expedite AI tasks, geo mapping, structural engineering, and data modeling. It starts at $1,999. The 14” or 16” MacBook Pro with M4 Max is designed for the most demanding workloads. This includes professionals who often use heavy-duty animation programs or developers who use large language models. It holds up to a 16-core CPU, up to a 40-core GPU, and over half a terabyte per second of unified memory bandwidth for desktop-like performance. The device includes the Media Engine, which leverages ProRes accelerators for improved performance when working with 4K / 120 FPS video. It starts at $2,499. The 2024 MacBook Pro with M4 Pro is suitable for processional data modeling. Image: Apple Apple also announced new MacBook Air models with M2 and M3 chips will be available with double the previous starting memory, at 16GB, for $999. SEE: Computer navigation is a new potential use case for AI, with both Siri and Anthropic’s Claude 3.5 Sonnet able to carry out commands. Display, performance, and AI features get a boost Like some of the new iMacs, the 2024 MacBook Pro line uses a nano-texture screen to show clearer images in bright conditions, such as when working outdoors. All of the new laptops include Apple’s contemporary 12MP Center Stage camera and “Center Stage” and “Desk View” modes. Desk View can automatically show both a person’s face and their desk for content creation. The M4 chip’s performance-per-watt efficiency contributes to what Apple claimed is a 24 hour battery life. It speeds up tasks like editing photos or editing animated scenes in Blender, Apple said. As Apple has previously noted, the M4’s neural engine is designed to run relatively heavily AI workloads like the generative Siri upgrade Apple intelligence. However, Apple Intelligence is only compatible in U.S. English and only works on macOS Sequoia 15.1. Apple Intelligence brings rewriting, proofreading, and summarization tools, a revamped Siri that can respond to more naturalistic typed or spoken requests, and image generation. The 2024 MacBook Pro line will be ready for the expanded Apple Intelligence capabilities expected to drop in December. source

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To address compliance fatigue, Camelot began work on its AI wizard in 2023. It utilized Generative AI technologies including large language models like GPT-4, which uses natural language processing to understand and generate human language, and Google Gemini, which is designed to handle not just text, but images, audio, and video. Camelot has the flexibility to run on any selected GenAI LLM across cloud providers like AWS, Microsoft Azure, and GCP (Google Cloud Platform), ensuring that the company meets compliance regulations for data security. Throughout 2024, Camelot’s team of in-house developers built the AI wizard that would become “Myrddin,” training it to understand CMMC guidelines and answer questions quickly with a focus on actionable, real-time guidance. The decision to start in a controlled environment and gradually expand AI capabilities allowed Camelot the time to mitigate risks and hone Myrddin before its rollout in September 2024. “Myrddin is now part of our CMMC dashboard tool that assists users in conducting gap assessments and interpreting cybersecurity compliance guidelines,” says Birmingham. “It has streamlined the entire process, helping IT teams handle CMMC assessments more effectively.” source

As of Oct. 28, users in more than 100 countries and territories can access AI Overviews, Google’s explanatory, generative widget that appears above some Search engine results. The tech giant first launched the feature in the U.S. before gradually expanding to additional regions. With its latest expansion, AI Overviews can now be accessed in Canada, Africa, the Asia-Pacific region, Europe, the Middle East, Colombia, Chile, and many more locations. “With AI Overviews in Search, it’s easier than ever for people to find the information they need and discover relevant sites across the web, which opens up more opportunities to connect with publishers, businesses and creators,” wrote Google VP of Search Quality Srinivasan (Cheenu) Venkatachary in a press release. AI Overviews in Search Continues Worldwide Expansion When AI Overviews launched in May, it was initially available only to users in the U.S. By August, access had been expanded to include the United Kingdom, India, Japan, Indonesia, Mexico, and Brazil. Then, in October, Google added to AI Overviews’ language offerings: It can now parse and answer questions in: English Hindi Indonesian Japanese Portuguese Spanish As Google noted, language is not tied to a geographical location. Google will now be able to accurately claim 1 billion global users use its AI products, since AI Overviews appears in Search by default. SEE: Google Chrome: Security and UI tips you need to know (TechRepublic Premium) More Google news & tips Competitors and risks to AI in Search AI-generated answers to Search Engine queries have been a hot topic since generative AI went mainstream. Microsoft incorporated its Copilot chatbot into Bing Search. Perplexity AI built a conversational, AI-first search bot that draws information from Google and Bing. The Arc browser provides AI-generated blurbs to answer questions in Arc Search. However, AI-powered search engines display the weaknesses of generative AI in an environment where accurate information is paramount. Google AI Overviews infamously made up nonsensical or dangerous answers when it first launched. Generative AI search functions sometimes struggle to accurately distinguish between current events and past occurrences, or to answer relatively uncommon questions. I’ve found Google AI Overviews tends to answer “how” or “what” questions even if I type in a “why” question. It can sometimes feel like a buffer between my initial question and an answer Google would once have provided at a glance. AI Overviews may sacrifice context and authority, leading users to alternate search engines or forums like Reddit. “[T]he feedback we’ve received for AI Overviews has been highly positive,” according to Venkatachary. “People prefer using Search with AI Overviews, and they find their search results more helpful.” AI Overviews has been controversial with media publishers, who worry that it will take views away from websites. In response, Google has added source links on the right-hand side of the panel, making it easier for users to click through to the original sources of information. In October, Google added in-line links for similar reasons. “In our testing, these updates drove an increase in traffic to supporting websites compared to the previous designs,”  Venkatachary wrote. While it’s uncertain if AI Overviews will stick around for the long haul, Google’s expanded rollout suggests a strong current commitment to the feature. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Meta made several major announcements for robotics and embodied AI systems this week. This includes releasing benchmarks and artifacts for better understanding and interacting with the physical world. Sparsh, Digit 360 and Digit Plexus, the three research artifacts released by Meta, focus on touch perception, robot dexterity and human-robot interaction. Meta is also releasing PARTNR a new benchmark for evaluating planning and reasoning in human-robot collaboration. The release comes as advances in foundational models have renewed interest in robotics, and AI companies are gradually expanding their race from the digital realm to the physical world. There is renewed hope in the industry that with the help of foundation models such as large language models (LLMs) and vision-language models (VLMs), robots can accomplish more complex tasks that require reasoning and planning. Tactile perception Sparsh, which was created in collaboration with the University of Washington and Carnegie Mellon University, is a family of encoder models for vision-based tactile sensing. It is meant to provide robots with touch perception capabilities. Touch perception is crucial for robotics tasks, such as determining how much pressure can be applied to a certain object to avoid damaging it.  The classic approach to incorporating vision-based tactile sensors in robot tasks is to use labeled data to train custom models that can predict useful states. This approach does not generalize across different sensors and tasks. Meta Sparsh architecture Credit: Meta Meta describes Sparsh as a general-purpose model that can be applied to different types of vision-based tactile sensors and various tasks. To overcome the challenges faced by previous generations of touch perception models, the researchers trained Sparsh models through self-supervised learning (SSL), which obviates the need for labeled data. The model has been trained on more than 460,000 tactile images, consolidated from different datasets. According to the researchers’ experiments, Sparsh gains an average 95.1% improvement over task- and sensor-specific end-to-end models under a limited labeled data budget. The researchers have created different versions of Sparsh based on various architectures, including Meta’s I-JEPA and DINO models. Touch sensors In addition to leveraging existing data, Meta is also releasing hardware to collect rich tactile information from the physical. Digit 360 is an artificial finger-shaped tactile sensor with more than 18 sensing features. The sensor has over 8 million taxels for capturing omnidirectional and granular deformations on the fingertip surface. Digit 360 captures various sensing modalities to provide a richer understanding of the environment and object interactions.  Digit 360 also has on-device AI models to reduce reliance on cloud-based servers. This enables it to process information locally and respond to touch with minimal latency, similar to the reflex arc in humans and animals. Meta Digit 360 Credit: Meta “Beyond advancing robot dexterity, this breakthrough sensor has significant potential applications from medicine and prosthetics to virtual reality and telepresence,” Meta researchers write. Meta is publicly releasing the code and designs for Digit 360 to stimulate community-driven research and innovation in touch perception. But as in the release of open-source models, it has much to gain from the potential adoption of its hardware and models. The researchers believe that the information captured by Digit 360 can help in the development of more realistic virtual environments, which can be big for Meta’s metaverse projects in the future. Meta is also releasing Digit Plexus, a hardware-software platform that aims to facilitate the development of robotic applications. Digit Plexus can integrate various fingertip and skin tactile sensors onto a single robot hand, encode the tactile data collected from the sensors, and transmit them to a host computer through a single cable. Meta is releasing the code and design of Digit Plexus to enable researchers to build on the platform and advance robot dexterity research. Meta will be manufacturing Digit 360 in partnership with tactile sensor manufacturer GelSight Inc. They will also partner with South Korean robotics company Wonik Robotics to develop a fully integrated robotic hand with tactile sensors on the Digit Plexus platform. Evaluating human-robot collaboration Meta is also releasing Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR), a benchmark for evaluating the effectiveness of AI models when collaborating with humans on household tasks.  PARTNR is built on top of Habitat, Meta’s simulated environment. It includes 100,000 natural language tasks in 60 houses and involves more than 5,800 unique objects. The benchmark is designed to evaluate the performance of LLMs and VLMs in following instructions from humans.  Meta’s new benchmark joins a growing number of projects that are exploring the use of LLMs and VLMs in robotics and embodied AI settings. In the past year, these models have shown great promise to serve as planning and reasoning modules for robots in complex tasks. Startups such as Figure and Covariant have developed prototypes that use foundation models for planning. At the same time, AI labs are working on creating better foundation models for robotics. An example is Google DeepMind’s RT-X project, which brings together datasets from various robots to train a vision-language-action (VLA) model that generalizes to various robotics morphologies and tasks. source

Whether you’re looking to change the direction of your career or expand your skillset as a programmer, the languages you chose to learn will significantly impact your time commitment and prospects. Some languages use familiar syntax, welcome minimum code commands for heavy-duty work, and are open-source with a helpful developer community that guides users in making the most of it. Others are complicated due to complex syntax, how the code is structured and organised, and not-so-seamless onboarding experiences. 5 hot roles hiring right now Test Engineer High Tech – Netherlands based only, Capgemini, Eindhoven Software Developer (C++), Artisans, Zwolle Senior Software Developer C#, Infarma-Pharmagest, Anagni Développeur .NET C# H/F, CONSORT GROUP, Nantes Python Developer, Alliander, Arnhem You’d be forgiven for thinking that languages which are difficult to learn are better compensated. As we’ll see, that’s not always the case. The hardest programming languages C++ The 💜 of EU tech The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now! Though C is regarded as a minimalist and somewhat straightforward language, C++ is considered the opposite. C++ is challenging to learn, and this is down to its multi-paradigm structure and tricky syntax. Although it is commonly known to be especially difficult for beginners, programmers who have never worked with low-level languages before also find it difficult to learn. In return for its complexity, this language offers unparalleled performance, and can power applications like real-time simulation engines, financial trading systems, and AAA video games. C++ salaries as disclosed in Stack Overflow’s annual survey, aren’t especially thrilling. The average annual compensation, including salary, bonuses and perks (before taxes and deductions), was $64,444 for C++ developers. Yet, through the House of Talent Job Board, you’ll see C++ salaries reaching highs of almost a quarter of a million in the US. Keep in mind that, if you decide to upskill, you’ll need to allow for a significant time investment to really learn the language. Whitespace You don’t need to be in any way technical to understand why learning Whitespace is so challenging. The language uses whitespace characters — specifically spaces, tabs, and line breaks, as its sole syntax elements. This means the source code of programmes written in Whitespace is invisible. Originally created 21 years ago by Chris Morris and Edwin Brady at the University of Durham, Whitespace is more an intellectual challenge than a practical tool. Enjoyable dinner party or interview fodder for sure, but not one to bank your professional development or next career move on. Cow Cow is another esoteric language designed as a cerebral challenge. With 12 commands, all of which are variations of the word “moo”, and a contrived syntax, it’s extremely difficult for most programming purposes. Again, it has limited practical application and isn’t used to build usable software, but its absurdist structure does create a talking point — or moo-ment — about language design and constraints. Easiest programming languages to learn Javascript An essential language for web development, JavaScript powers front-ends and modern web applications. It has an accessible syntax, immediate visual feedback, and an extensive library of documentation. And considering 84% of Stack Overflow’s 48,019 respondents said technical documentation was the top online resource to learn code from (83.9% of respondents), Javascript’s large library is very helpful. Survey respondents also used Stack Overflow (80.3%, of course), written tutorials (68.4%), blogs (61.4%), how-to-videos (54.2%), and video-based e-courses (49.9%). Additionally, JavaScript has long been the most popular programming language in the Slack Overflow survey, with the exception of 2013 and 2014, when SQL topped the charts. The average annual salaries for JavaScript developers in 2024 is $63,694 and the language works hand-in-hand with HTML and CSS. Python Python’s syntax closely resembles natural English, and its philosophy emphasises code readability, which makes it an accessible language for beginners. Data scientists, machine learning engineers, and back-end web dev all love it, and its expansive libraries and frameworks make it versatile for a wide range of applications. Experienced developers find it the perfect tool for automating repetitive tasks. It’s one of the four main languages deployed at Google, and is also used at Intel, IBM, Netflix, Facebook, and Spotify. For those strategically upskilling, Python is a smart move. Those who are proficient can expect an annual salary of $67,723, according to the same survey. Ruby Similarly, Ruby is known for its simple syntax and is also used for building web applications in plain English. Its main framework, Ruby on Rails, simplifies web development by handling many repetitive tasks involved in building websites, such as setting up web pages and databases. Because of this, Ruby is often used by startups and small businesses, though just 4.7% of Slack Overflow respondents said they completed extensive development work in Ruby over the last year, compared to Node.js (40.8%), and React (39.5%). That said, Ruby commanded the fifth spot when it comes to the top-paying technologies, with an annual average compensation of $90,221, after Erlang ($100,636), Elixir ($96,000), Clojure ($95,541), and Nim ($94,924). For complete beginners, Ruby is the perfect introduction to building real projects, without getting bogged down in complicated code, and it pays well. Win-win. Ready to find your next programming role? Check out The Next Web Job Board source