The proactive security market is consolidating further as exposure management vendor Tenable announced its intent to acquire Vulcan Cyber, a unified vulnerability management (UVM) vendor that specializes in third-party vulnerability collection, vulnerability response, and application security posture management. This acquisition demonstrates how vendors are reacting to CISOs’ continued need to unify and consolidate their fragmented arsenal of security tools. Tenable plans to complete the acquisition by the end of March 2025 for $147 million in cash and $3 million in restricted stock units. Forrester estimates Vulcan Cyber’s annual recurring revenue at around $25 million with about 100 enterprise customers. This acquisition underscores Tenable’s commitment to enhancing vulnerability response, complementing its recent announcement of adding support for integrated patch management capabilities. As attack surfaces expand across cloud, devices, and applications, security teams face the challenge of managing diverse security posture assessment tools that identify various assets and assess vulnerabilities. This fragmentation makes vulnerability prioritization and remediation tracking challenging. UVM companies such as Vulcan Cyber consolidate and unify vulnerability sources from cloud security, vulnerability scanners, endpoint security, and more to aid in the prioritization process. This unification allows teams to apply prioritization methods and orchestrate and track remediations effectively. This acquisition further aligns with Forrester’s research on proactive security, which is made up of three core principles: visibility, prioritization, and remediation. Vulcan Cyber’s model of unified vulnerability management, which ingests third-party vulnerabilities and improves response, addresses areas where Tenable has traditionally not been as strong. Forrester expects Tenable to prioritize integrating Vulcan’s third-party connector ecosystem into its Tenable One platform and leveraging Vulcan’s application security posture management (ASPM) capabilities. This integration will enable Tenable One customers to pull in more diverse vulnerability sources, from static application security testing/dynamic application security testing to cloud security providers, ultimately improving remediation response workflows and insights. UVM solutions have recognized the advantage for security leaders of being able to ingest, aggregate, deduplicate, and triage findings from various vendors and types of application security testing tools. ASPM solutions such as Vulcan Cyber advance this approach by correlating issues discovered during development and testing with application deployment and runtime information. The contextualized prioritization focuses development and DevOps teams on addressing only the most important business-impacting issues, thereby enhancing development productivity and minimizing risk. Moreover, Vulcan Cyber’s ASPM offering further allows Tenable to capture a larger share of the application security budget. With this acquisition, Tenable has expanded its vulnerability management to enhance remediation. Vulcan’s workflow engine allows security and IT teams to build and deploy custom playbooks that automate prioritization and remediation process, reducing manual overhead. Tenable One can leverage Vulcan’s ability to seamlessly bridge vulnerability data with DevOps toolchains. This acquisition marks Tenable’s fifth in three years, following purchases in data security (Eureka Security), cloud security (Ermetic), attack surface management (Bit Discovery), and exposure management (Cymptom). The proactive security market is expected to continue consolidating through acquisitions and the unification of vulnerabilities and assets from disparate tools. source

Every two years for the last decade, the World Economic Forum has released a comprehensive, and oft cited report proffering insights into the changing nature of the jobs economy. The latest Future of Jobs Report, which covers 2025–2030, combines the viewpoints of more than 1,000 prominent international businesses, who together account for over 14 million workers in 22 sector clusters and 55 economies worldwide. Here are a few key takeaways: Gen AI & robots According to the report, by 2030, 60% of employers anticipate that broadening digital access will revolutionise their industry. 5 jobs to discover this week Software Engineer, Mercor, FR Software Developer DevOps, Seibert Group GmbH, Stuttgart Software Developer – Data Analytics & AI (w/m/d), TÜV SÜD AG, München Software Engineer, Alten, Alpes-Maritimes Software Engineer TSCMIS, Leidos, Stuttgart Employers agreed the following areas were likely to drive business transformation: artificial intelligence and information processing (86%), robotics and automation (58%), semiconductors and computing technologies (20%), and satellites and space technologies (9%). Gen AI remains the hottest and most accessible tech trend, and has received a rapid surge in both investment and adoption across various sectors. Since ChatGPT was released in November 2022, investment into AI has increased nearly eightfold. And that doesn’t include the significant investment in the physical infrastructures required for AI, including servers and data centres. Some 40% of businesses expect to reduce their personnel in areas where AI can automate jobs, two-thirds aim to hire talent with specialised AI capabilities, and half of employers plan to reorient their business in response to AI. Interestingly, the report features data from Coursera, which shows a steep incline in AI upskilling from April 2023 onwards. Meanwhile, robots and autonomous systems have seen steady growth of 5-7% annually since 2020. Worldwide, the average robot density was 162 units per 10,000 workers in 2023, which is twice as many as it was seven years prior. However, 80% of robot installations are taking place in China, Japan, the United States, the Republic of Korea, and Germany, making this technology trend highly concentrated. Skills to pay the bills The report also highlights the increased demand for both technology-related skills and broader workplace skills. In terms of tech skills, big data and AI (yes, again), networks and cybersecurity, and technological literacy are all predicted to be the top fastest-growing skills. Despite all this, AI and big data only placed 11th in the list of core skills for 2025. In top billing is analytical thinking (69% of employers agree). Resilience, flexibility, and agility come next, followed by leadership and social influence, highlighting the vital role that flexibility and teamwork play in modern workplaces. Creative thinking, plus motivation and self-awareness come in fourth and fifth. Completing the top ten are: technological literacy, empathy and active listening, curiosity and lifelong learning, talent management, and service orientation and customer service. Changing priorities There have been several notable changes in essential skills since this report’s previous edition in 2023. Relevance has significantly increased for leadership and social impact, AI and big data, talent management, as well as customer service and service orientation. Overall, the most significant increases in relevance have been observed in the areas of leadership and social impact, resilience, flexibility and agility, and AI and big data. Looking further to 2030, tech skills are increasing in importance. Some 87% of employers consider AI and big data to be important during the next five years, 70% say networks and cybersecurity are hot topics, while 68% say technological literacy will be paramount. Systems thinking also ranks highly (51%), and design and user experience does too (45%). Programming ranked lower overall at 27%, though this was higher in the technology services sector and the telecommunications industry. Technological literacy was most valued in automotive and aerospace, financial services and capital markets, followed by medical and healthcare services. When it comes to the importance of networks and cybersecurity, financial services and capital markets unsurprisingly is the top industry, followed by insurance and pensions management, and energy technology and utilities. With all this data, it might be difficult to narrow down where your next upskilling opportunity should lie. However, AI and big data, networks and cybersecurity, and technological literacy all sound like safe bets. It can be helpful to look at what roles are in demand. In percentage terms, the fastest-growing occupations are those in the technology sector, such as software and application developers, fintech engineers, big data specialists, and experts in artificial intelligence and machine learning. Over six million software and applications developer roles are expected to open up between now and 2030, the third highest growing jobs after farm workers and truck drivers. If you already have transferable skills and you’re ready to start your job search, the House of Talent Job Board is the perfect place to start. It features Robin, a conversational AI job search agent that can help you to locate your next tech position, fast. Robin pops up on the bottom right hand side of your screen when you’re on the job board, and allows you to search for best-matched jobs using your resume. Not quite sure what you want to do? You can tell it a bit about yourself, your skills, and where you’d like to work to generate some ideas. Ready to find your next software job? Check out The Next Web Job Board source

IT service and operations teams increasingly benefit from the enrichment of their work systems with modern technology. Artificial intelligence (AI) reduces toil, identifies important information, summarizes information, and makes recommendations, enabling IT organizations to focus their critical skills more effectively. However, the data collected during this work is frequently underutilized or overlooked once its immediate purpose is complete. Transactional data records used by IT management tools have two distinct phases of value. First, a data object is created to describe and categorize the scenario and to manage a resolution to completion. Some familiar examples of the “tickets” created in such scenarios are detected infrastructure events, incidents, and change requests. Once the work is completed, there is a second, extended value phase. The ticket data stored about the work becomes a small component of a large, aggregated set of information. Over weeks and months, organizations accumulate thousands or even millions of these transactional records. The result is a data set with vast potential to provide valuable information about the people, processes, and systems involved in day-to-day activities. Collectively, this information is a rich resource for organizational improvement, enabling intelligent decisions, informed strategies, and accurate answers to inquiries. The data analysis bottleneck Unlocking the value within this data has long been a specialist skill, requiring dedicated reporting tools and a knowledge of complicated database structures. This challenge creates a bottleneck in many organizations, with the demand for fast information often exceeding the capacity of reporting teams to provide it. Simply increasing the number of people dedicated to data analysis does not usually solve the problem. Many organizations have experienced an induced demand effect, with the visible benefits of effective data analytics leading more people to want to consume those analytical services. The more successful reporting teams are in delivering valuable insights, the more the demand increases on the time and skills of reporting teams! Unlocking and extending the value in IT data However, just as AI has enabled optimization of the active phase of a data record’s life, the technology is now transforming this secondary phase. As one of the agentic AI assistants in the BMC Helix platform, BMC HelixGPT Insight Finder, enables any consumer of operational data to gain deep and broad insights from large datasets simply by conversing with the assistant. This practical use of generative AI enables employees to fulfill their own data needs, rather than joining the back of the work queue of a specialist data analysis team. BMC HelixGPT Insight Finder allows consumers simply to express the information they need in plain language. The fine-tuned agentic AI assistant translates requests into the data queries required to retrieve appropriate information, then presents the information to the user via visualizations. This AI assistant easily combines multiple data sources into structured insights, reducing the need for complex query building. The conversation can also continue beyond the first response. On receipt of the initial presentation of data, the user can ask for deeper analysis, clarifications, or secondary queries. These secondary insights are gained instantly without needing to join the back of the queue to access the reporting team once more. The transformative value of AI The skills of expert data analysis teams are too valuable to be used in repetitive reporting work. As enterprises and large organizations continue seeking ways to increase the value of their data through new technologies, generative AI is taking center stage. Providing enterprise teams with an AI-driven facility to fulfill most reporting needs liberates expert data analysts from routine request fulfillment. Solutions like the BMC HelixGPT Insight Finder make everyone in the enterprise a data expert and enable enterprises to deliver differentiating and transformational value from the vast storage of data collected daily. Visit here to discover how agentic AI can transform your enterprise data into a proactive force that improves business results in your organization or contact BMC. source

By Matthew Perlman ( February 6, 2025, 9:35 PM EST) — A group of Democratic senators has re-introduced a bill that would prevent companies from using common software and shared data to set prices through algorithms, an issue that’s been the subject of mounting litigation in the rental housing market and other sectors…. 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

Square is a financial technology (fintech) company well-known for its point-of-sale (POS) system. It offers diverse business banking products and services, which include checking, savings, loans, and credit cards. The Square Business Checking account Square is a financial technology company and not a bank. Square Checking is provided by Sutton Bank, Member FDIC.  provides small businesses with instant deposit access and minimal banking fees. It also has several integrations, which include eCommerce, accounting, marketing and loyalty, and team management apps. Square’s fast facts Our rating: 4.36 out of 5 Starting price: Free business checking account. Key features of Square Business Checking Account: No monthly fees or required opening deposit. Unlimited transactions. Free cash deposits at participating retailers. No ATM fees, but third-party operator surcharges apply. Multiple integrations with eCommerce, accounting, and other apps. Must be a Square POS user to open a business account. Image: Square Square’s Business Checking account suits small businesses that process payments through the Square POS system. With an easy-to-navigate dashboard, applying for a new Square checking account is quick. The fee-free business checking product provides prompt access to your sales and makes spending using a debit card easy. Let’s check out Square Business Checking’s standout features and pricing structure to see how it compares with other financial providers. Square Business Checking Reviews: What Users Think of Square 4.30/5 Square obtained a rating of 4.2 from around 5,400 reviews on Trustpilot. Several users were pleased with its payment processing system. They stated they never encountered any issues and appreciated its top-notch features. Specific Square checking account reviews were unavailable. Users praised it for its ease of use and timely processing. However, a few pointed out the glitches they experienced with Square and were dissatisfied with its lack of access to customer support. The Square mobile app has a high rating of 4.8 on the App Store from over 500,000 reviews, while it was rated 3.9 on Google Play from over 200,000 reviews. Reviewers mentioned that creating invoices on the app is easy and that they have never experienced payment issues. Others also liked the all-in-one reliable app for prompt fund transfers. Meanwhile, some complained about sudden deactivated accounts for potential fraud flagging and unsupported business industries. A few also claimed they couldn’t access customer support and found the app buggy. Square Business Checking Pricing Structure 4.43/5 Like some financial providers, the Square business checking account allows users to save on monthly maintenance fees and does not require an initial deposit. You can save further since it does not restrict transactions and charge excess items. Square Business Checking account: No monthly fees or balance minimums. No opening deposit. Unlimited transactions. 1.0% standard ACH fee per transaction. 1.75% same-day ACH fee per transaction. Unsupported wire transfers. No overdraft fees. $0 cash deposit fees at participating retailers. $0 ATM fees from Square; operator fees apply. Square Business Checking Key Features 4.0/5 Square provides users with fee-free business checking accounts, debit cards, and solid integrations with various business tools. Let’s check its features to see its competitive advantages over other providers. Key features for Square Business Checking: No monthly fees or initial deposits. Square debit card. Robust integrations. Instant transfers. Printable checks. No Monthly Fees and Initial Deposits The Square Business Checking account offers no monthly maintenance fees and account opening deposits, delivering plenty of savings to small businesses. Square Debit Card A Square debit card is issued when you sign up for a Square checking account. Aside from a physical card, you can link a virtual card to digital wallets. You can also order up to five free debit cards for your team to delegate business purchases, allowing more transparency over team spending. Instant Transfers Square allows you to transfer funds instantly from the Square POS app or your online Square dashboard. You must have a minimum balance of $25 for instant transfers and $1 for same-day transfers after Square’s processing and transfer fees. Lower limits can apply to new Square sellers. Instant transfers help small businesses access their funds quickly to support business needs. Robust Integrations Square integrates with secure and popular apps, such as QuickBooks Online, Wix, WooCommerce, Jotform, Shippo, SKU IQ, Thrive Inventory, Bookkeep, Stream, Printful, Poptin, OnTheClock, Digital Menu Boards, Trustpilot Reviews, and more. Printable Checks You can create checks from Square’s POS app or dashboard. You can then download, print a copy, or email it as a PDF attachment. Would Our Expert Use Square Business Checking? 4.70/5 If you’re a small business owner looking to instantly access your Square sales, opening a Square Business Checking account is a good move. Signing up takes just a few minutes, and you can integrate with other Square tools and popular apps to streamline your business operations. It is also cost-effective since no account fees are collected for monthly maintenance, transactions, or cash deposits. Free cash deposits at participating retailers. The Square business checking account also provides a debit card that you can use for purchases and withdrawals. However, you will be paying for potential third-party ATM surcharges since it does not have its own ATM network and does not refund ATM fees. You must also pay for standard and same-day ACH transactions, commonly offered for free by other fintech providers. If you seek to generate earnings from a checking account and often need to perform wire transfers, consider other options, such as Bluevine and Mercury. Should you need in-person banking services, U.S. Bank is a good option because it has several physical branches in 26 states. Before opening an account, see our article on how to open a business bank account to learn the step-by-step process. Square Business Checking Pros Fee-free checking: No monthly fees and minimum balance requirements. Connects with Square POS: Allow instant access to Square sales. Multiple integrations: Compatible with accounting and tax, eCommerce, marketing, and team management apps. Square Business Checking Cons Lacks APY earnings: The Square Business Checking account does not provide an APY. Meanwhile, Bluevine Standard has a 1.5% APY

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Agentic AI is all the rage today across multiple sectors, including application development and coding. Today at long last, GitHub has joined the agentic AI party with the launch of GitHub Copilot agent mode. The promise of agentic AI in development is about enabling developers to build more code with just a simple prompt. The new agent mode will enable Copilot to iterate on its own code and fix errors automatically. Looking forward, GitHub is also previewing a fully autonomous software engineering agent, Project Padawan, that can independently handle entire development tasks. The new agentic AI features mark the latest step in the multi-year evolution of the AI-powered coding development space that GitHub helped to pioneer. The Microsoft-owned GitHub first previewed GitHub Copilot in 2021, with general availability coming in 2022. In the AI world, that’s a long time ago, before ChatGPT became a household name and most people had ever heard the term “generative AI.” GitHub has been steadily iterating on Copilot. Initially, the service relied on the OpenAI Codex large language model (LLM). In October 2024, users gained the ability to choose from a variety of LLMs, including Anthropic’s Claude, Google’s Gemini 1.5 and OpenAI’s GPT4o. Alongside the agent mode launch, GitHub is now also adding support for Gemini 2.0 Flash and OpenAI’s o3-mini. Microsoft overall has been emphasizing agentic AI, assembling one of the largest AI agent ecosystems in the market. AI that supports ‘peer programming’ The new GitHub Copilot agent mode service comes as a series of rivals, mostly led by startups, have shaken up the development landscape. Cursor, Replit, Bolt and Lovable are all chasing the growing market for AI-powered development that GitHub helped to create. When GitHub Copilot first emerged, it was positioned as a pair programming tool, which pairs with a developer. Now, GitHub is leaning into the term peer programming as it embraces agentic AI. “Developer teams will soon be joined by teams of intelligent, increasingly advanced AI agents that act as peer-programmers for everyday tasks,” said GitHub CEO Thomas Dohmke. “With today’s launch of GitHub Copilot agent mode, developers can generate, refactor and deploy code across the files of any organization’s codebase with a single prompt command.” Technical breakdown: How GitHub’s new agent architecture works Since its initial debut, GitHub Copilot has provided a series of core features. Among them is intelligent code completion, which is the ability to suggest code snippets to execute a given function. Copilot also functions as an assistant, allowing developers to input natural language queries to generate code, or get answers about a specific code base. The system, while intelligent, still requires a non-trivial amount of human interaction. Agent mode goes beyond that. According to GitHub, the platform enables Copilot to iterate on its own output, as well as the results of that output. This can significantly improve results and code output. Here’s a detailed breakdown of agent mode operation. Task understanding and planning: When given a prompt, agent mode doesn’t just generate code — it analyzes complete task requirements; According to GitHub, the system can “infer additional tasks that were not specified, but are also necessary for the primary request to work”.  Iterative execution: The agent iterates on both its own output and the result of that output; It continues iteration until all subtasks are completed. Self-healing capabilities: Automatically recognizes errors in its output; Can fix identified issues without developer intervention; Analyzes runtime errors and implements corrections; Suggests and executes necessary terminal commands. Project Padawan brings the ‘force’ to development While agent mode certainly is more powerful than the basic GitHub Copilot operation, it’s still not quite a fully automated experience. To get to that full experience, GitHub is previewing Project Padawan. In popular culture, a ‘Padawan’ is a reference to a Jedi apprentice from the Star Wars science fiction franchise.  Project Padawan builds on the agent mode and extends it with more automation. In a blog post, Dohmke noted that Padawan will allow users to assign an issue to GitHub Copilot, and the agentic AI system will handle the entire task. That task can include code development, setting up a repository and assigning humans to review the final code. “In a sense, it will be like onboarding Copilot as a contributor to every repository on GitHub,” Dohmke said. Comparing GitHub’s agent to other agentic AI coding options GitHub in some respects is a late entrant to the agentic AI coding race. Cursor AI and Bolt AI debuted their first AI agents in 2023, while Replit released its agent in 2024. Those tools have had over a year to iterate, gain a following and develop brand loyalty. I personally have been experimenting with Replit agents for the last several months. Just this week, the company brought the technology to its mobile app — which you wouldn’t think is a big deal, but it is. The ability to use a simple prompt, without the need for a full desktop setup to build software, is powerful. Replit’s agent also provides AI prompt tuning to help generate the best possible code. The Replit system runs entirely in the cloud and users like me don’t need to download anything.  Bolt doesn’t have a mobile app, but it does have a really nice web interface that makes it easy for beginners to get started. Cursor is a bit more bulky in that it involves a download, but it is a powerful tool for professional developers. So how does GitHub Copilot agent mode compare? GitHub is the de facto standard for code repositories on the internet today. More than 150 million developers, including more than 90% of the Fortune 100 companies, use GitHub. According to the company, more than 77,000 organizations have adopted GitHub Copilot. That makes the technology very sticky. Those organizations already relying heavily on GitHub and Copilot are not going to move away from the technology easily. In

Overview Jan Olesen – Global Head of Digital Business Solutions at Indorama Ventures – shares how artificial intelligence (AI) is optimising their manufacturing business, his approach to selecting solutions and vendors that are the best fit for him, and more. Register Now source

By Rae Ann Varona ( February 6, 2025, 11:52 PM EST) — Over a dozen state attorneys general are set to file suit challenging Elon Musk and Department of Government Efficiency staffers’ access to people’s sensitive personal information through government payment systems, New York Attorney General Letitia James’ office announced Thursday…. 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

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Thomson Reuters is bringing AI to tax professionals in a big way. The company has partnered with Anthropic to use its Claude AI technology in its tax tools, marking one of the largest AI rollouts in the tax and accounting industry. At the heart of this initiative is CoCounsel, Thomson Reuters’ AI platform for legal and tax professionals. The system runs on Amazon’s secure cloud infrastructure, ensuring that sensitive client information remains protected while delivering AI-powered insights. “We combine real expert human knowledge with advanced technology,” Joel Hron, CTO at Thomson Reuters, said in an exclusive interview with VentureBeat. “We have experts across many different domains generating content and workflows. For us, AI is a tool to facilitate the distribution of that expertise through our software.” How Thomson Reuters built a tax AI platform using 150 years of professional content The company has built a comprehensive retrieval-augmented generation (RAG) architecture that connects Claude to Thomson Reuters’ vast knowledge base, including content from more than 3,000 subject matter experts and 150 years of professional publications. Rob Greenlee, head of industries at Anthropic, explained the technical approach in an exclusive interview: “Claude’s foundation in understanding complex professional domains like law and tax comes from comprehensive training on a diverse range of high-quality texts, including professional and academic content. For work with Thomson Reuters, we’ve taken several additional steps… We then work closely with Thomson Reuters to optimize Claude’s performance through advanced prompting strategies and carefully designed workflows that leverage their authoritative content and domain expertise.” Inside the strategic deployment of multiple AI models for professional services Thomson Reuters is strategically deploying different versions of Claude based on task complexity. The company uses Claude 3 Haiku for rapid processing tasks and Claude 3.5 Sonnet for deeper analyses requiring detailed insights. Early results show significant efficiency gains. “Customers are reporting transformative efficiency gains with CoCounsel,” said Hron. “Professionals are not only saving time but, also elevating the level of work they focus on, maintaining quality while delivering more strategic value to their clients.” Security remains paramount in the implementation. Amazon Bedrock provides what Hron called “a robust and battle-tested cloud infrastructure that adheres to our enterprise-grade security standards throughout the entire life cycle.” Enterprise AI deployment sets new standard for security and professional trust The collaboration between Thomson Reuters and Anthropic represents a new model for enterprise AI deployment, combining advanced AI capabilities with domain expertise and secure infrastructure. “What makes this partnership particularly valuable is the combination of Anthropic’s advanced AI capabilities with Thomson Reuters’ deep domain expertise and authoritative content,” said Greenlee. Looking ahead, Thomson Reuters plans to expand its use of Claude, exploring agent frameworks for complex tax workflows and computer vision capabilities to help editorial teams curate content more efficiently. “We’ve been vocal about our AI investment as a strategic part of our products going forward,” said Hron. “Our editorial workforce spends significant time building and curating content — we see tremendous potential to accelerate these processes with Anthropic’s computer vision and tool use capabilities.” The implementation comes as tax and accounting professionals increasingly adopt AI tools to streamline their work. Thomson Reuters’ approach could serve as a blueprint for other enterprises looking to deploy AI while maintaining professional standards and data security. Correction: Feb. 11, 2025: An earlier version of this article misstated Thomson Reuters’ use of Claude AI. The technology is implemented specifically for tax services within CoCounsel, not for legal services. source

Business leaders around the world believe it is important to invest in IT and technology, and globally, 69% of business execs believe it is necessary for their organizations to increase investments in IT to maintain competitiveness.  But even there, Europe lags far behind the US. Less than two thirds (64%) of European business leaders, fewer than the global average, are concerned that their organization is investing too little. In the US, however, where there is a stronger willingness to invest in IT when compared globally, 84% percent of business leaders are concerned about their organization’s investment power.  Caroline Segerstéen Runervik, Nordic head at Capgemini, says in a comment that the lower investment rate and continued challenges with recruiting the right skills in IT and technology pose major challenges for European companies to maintain their competitiveness globally.  source