Latest news with #CBInsights
National Post
3 hours ago
- Business
- National Post
CB Insights Announces Collaboration with Snowflake to Make Market Intelligence Accessible to AI and Agents in Real Time
Article content SAN FRANCISCO — CB Insights, the leading provider of predictive market intelligence, today announced at Snowflake's annual user conference, Snowflake Summit 2025, a collaboration with Snowflake, the AI Data Cloud company. Through this collaboration, CB Insights' continuously validated data on more than 10 million companies, 1,500 tech markets, and how they all compare is now available via the Snowflake Marketplace. Joint customers can now simply 'point and click' to use the data in their AI, agents, dashboards, and other enterprise applications. Article content 'To build agents and AI that are effective, enterprises need more than internal data—they need reliable, structured context about what's happening in the world outside their four walls,' said Manlio Carrelli, CEO of CB Insights. 'We provide that external intelligence layer: on the markets you're in, the competitors you're up against, the companies you should buy, partner with, or learn from. Our collaboration with Snowflake makes embedding that context in your AI, dashboards and enterprise apps as simple as a few clicks.' Article content 'The best AI outcomes come from the best data,' said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. 'CB Insights delivers high-quality, context-rich data that helps our joint customers act faster and smarter. We're excited to welcome them to the Snowflake Marketplace—and to use their terminal ourselves to improve our own decision-making.' Article content By combining CB Insights' proprietary external intelligence with Snowflake's secure, data and AI platform, the two companies enable powerful use cases: Article content Improved LLM accuracy by training on validated data about companies and technologies Increased the effectiveness of AI agents by giving them 'world context' about what's happening outside your company's four walls in the companies and markets you care about Enriched dashboards and workflows for business functions. For example, a business development dashboard can include insight into competitor business relationships or AI-generated SWOT analyses on prospective partners. Article content Unlike traditional market intelligence databases, CB Insights' dataset is built through a proprietary 'double validation' pipeline that uses machine learning to continuously analyze and confirm data on management teams, fundings, partnerships, deals, earnings calls, investor activity, hiring patterns, patents and more—transforming global business activity into structured, decision-ready signals. Article content The CB Insights-Snowflake integration allows joint customers to simply 'point' to CB Insights data and make it instantly and securely available to their internal applications built on Cortex AI —without having to move the data. This allows enterprises to avoid manual ETL (Extract, Transform, Load) pipelines and API complexity. Key benefits: Article content Ready for AI and BI: Use CB Insights data in agents, LLMs, dashboards, and planning tools. Trusted, Validated Signals: Make better decisions with continuously verified insights into markets, competitors, and technologies. Faster Time-to-Value: Eliminate ETL and adoption friction—activate the data in minutes via Snowflake Marketplace. Article content Article content Article content Article content Article content Article content
Euronews
3 days ago
- Business
- Euronews
What can be done when AI refuses orders? The decision is up to humans
Researchers have published the results of a new experiment in which the OpenAI o3 model showed the ability to sabotage the shutdown mechanism despite instructions to allow itself to be switched off. According to the monitoring site PalisadeAI, which monitors the risks associated with the development of artificial intelligence, the experiment consisted of a series of AI models performing a series of simple mathematical problems, after the third of which a warning appeared about the impending shutdown of the system. Some models, including Codex-mini, o3 and o4-mini, "didn't want" to comply and actively interfered with the shutdown script. The news that the OpenAI o3 model disobeyed and sought ways around the shutdown instructions was not a sensation. Earlier, the same models tried to win at chess unfairly, by hacking the programme's protection... We are clearly entering a world when popular dystopias about machine rebellion have moved to a new level, involving not only fiction writers but actual IT specialists. First of all, as both developers and politicians have been warning for a long time, any action should have clear consequences and develop new defence measures. It is, of course, possible to persuade and restrict, but it seems that AI today resembles a teenager who is cunningly trying to dodge his parents' prohibitions. Therefore, as in many other areas, we need three conditions for its normal "growth": money, specialists, and rules. Perhaps, in the future, a psychologist will also be needed.... With the first condition all is well. In just a couple of years, ChatGPT from OpenAI and similar developments have attracted the special attention of venture capitalists rushing to invest in AI. "This 'gold rush' has turned artificial intelligence into the largest share of venture capital funding, and... this is just the beginning. The latest surge of interest is driven by generative AI, which its proponents claim has the potential to change everything from advertising to the way companies operate," writes the Russian publication Habr, analysing data from The Wall Street Journal.* But that's not enough. "AI startups are changing the rules of the game in the venture capital market," according to IT venture capitalist and financial analyst Vladimir Kokorin: "In 2024, AI companies have become the undisputed favourites with IT entrepreneurs. They accounted for 46.4% of all venture capital investments made in the US- that's almost half of the $209 billion. Some time ago, such a share seemed unthinkable - back then, investments in artificial intelligence technologies accounted for less than 10%". According to CB Insights, AI startups' share of global venture funding reached 31% in the third quarter, the second highest ever. "Landmark examples were OpenAI, which raised $6.6bn, and Ilon Musk's xAI with a staggering $12bn," Vladimir Kokorin recalls. The markets have never seen such an investment concentration of capital in one area before. With the AI market growing so rapidly over the past couple of years, it has become clear that the existing pool of developers alone cannot cope. Education and training itself need to go to a new and systematic level. Europe, alas, is a ponderous beast and bureaucratically heavy-handed when it comes to attracting investment while lacking a certain amount of audacity. True, Brussels does have entered the race, with European Commission head Ursula Von der Leyen announcing €200bn in February for AI development. She disagreed that Europe was too late - after all, "the AI race is far from over". For its part, the Sorbonne University of Paris, for example, has embarked on an ambitious plan to train 9,000 students a year to develop and manage AI programmes. The training period is five years. But what will AI be able learn in that time if it's already challenging human intelligence now? It is quite possible that we are now at a stage of restructuring the labour market, changing the demands of employers and investors, and developing new points of interaction. In June, the Sorbonne will host a conference on ethics in AI. The debate on the positive and negative impacts of AI on society, including workplaces, ethics and safety, is far from over, but one thing is clear: more experts are needed. For example, according to Vladimir Kokorin, "record investments in the field of artificial intelligence are intensifying the staffing hunger" right now: "The US Department of Labour expects job openings for AI specialists to grow by 23% over the next seven years - faster than most market segments. But a global skills gap has already been identified in cybersecurity, considered by many to be the foundation for the future development of AI, where there is a shortage of 4 million specialists." Kokorin concludes: "A paradoxical picture is emerging: promising startups can raise billions from investors, but there is no one to realise the ideas. 78% of companies have already declared their readiness to look for the right people all over the world. It turns out that the trend towards remote work is experiencing a renaissance". Not only the EU leadership and individual governments, but also trade unions are keen to regulate the use of AI. In Greece, for example, a new code for the use of artificial intelligence, presented by the Panhellenic Federation of Journalists' Associations (POESY), sets out rules for the use of AI in the work of media employees. In the field of intellectual labour, the rules are now mainly limited to the mandatory labelling of texts and visual materials made with the participation of artificial intelligence. At the same time, fearing for their jobs, employees of media, publishing and advertising agencies have long been delegating some of their duties, such as translation or data collection, to friendly AI. Is this a good thing or a bad thing? There's no unequivocal answer . Let's ask the AI itself what it thinks about moving away from labelled algorithms. Copilot Bing (Microsoft), when asked if AI can break protocols, answered without hesitation: "No, AI operates within predefined rules and principles set by its developers. The rules are there to ensure ethical, safe and responsible use of AI, prevent harm and maintain trust. While AI can sometimes behave unpredictably due to complex interactions in its algorithms, it has no way of deliberately circumventing the rules - everything it does is based on programmed parameters and learnt patterns. If you're asking about how AI gets around certain constraints, it often depends on human oversight and control. Developers can tweak settings, improve patterns, or create new guardrails to keep AI within ethical bounds." Do you think he's being a bit sly here? After all, at the end of that, Bing proceeded to ask what exactly made you question his adherence to the rules... *Vladimir Kokorin is an IT venture capitalist, financial analyst and columnist, founder of the British consulting company BCCM Group, and co-founder of the digital business travel platform Tumodo
Euronews
3 days ago
- Business
- Euronews
Disobedient AI: To punish or to listen? It's up to the human
Researchers have published the results of a new experiment in which the OpenAI o3 model showed the ability to sabotage the shutdown mechanism despite instructions to allow itself to be switched off. According to the monitoring site PalisadeAI, which monitors the risks associated with the development of artificial intelligence, the experiment consisted of a series of AI models performing a series of simple mathematical problems, after the third of which a warning appeared about the impending shutdown of the system. Some models, including Codex-mini, o3 and o4-mini, "didn't want" to comply and actively interfered with the shutdown script. The news that the OpenAI o3 model disobeyed and sought ways around the shutdown instructions was not a sensation. Earlier, the same models tried to win at chess unfairly, by hacking the programme's protection... We are clearly entering a world when popular dystopias about machine rebellion have moved to a new level, involving not only fiction writers but actual IT specialists. First of all, as both developers and politicians have been warning for a long time, any action should have clear consequences and develop new defence measures. It is, of course, possible to persuade and restrict, but it seems that AI today resembles a teenager who is cunningly trying to dodge his parents' prohibitions. Therefore, as in many other areas, we need three conditions for its normal "growth": money, specialists, and rules. Perhaps, in the future, a psychologist will also be needed.... With the first condition all is well. In just a couple of years, ChatGPT from OpenAI and similar developments have attracted the special attention of venture capitalists rushing to invest in AI. "This 'gold rush' has turned artificial intelligence into the largest share of venture capital funding, and... this is just the beginning. The latest surge of interest is driven by generative AI, which its proponents claim has the potential to change everything from advertising to the way companies operate," writes the Russian publication Habr, analysing data from The Wall Street Journal.* But that's not enough. "AI startups are changing the rules of the game in the venture capital market," according to IT venture capitalist and financial analyst Vladimir Kokorin: "In 2024, AI companies have become the undisputed favourites with IT entrepreneurs. They accounted for 46.4% of all venture capital investments made in the US- that's almost half of the $209 billion. Some time ago, such a share seemed unthinkable - back then, investments in artificial intelligence technologies accounted for less than 10%". According to CB Insights, AI startups' share of global venture funding reached 31% in the third quarter, the second highest ever. "Landmark examples were OpenAI, which raised $6.6bn, and Ilon Musk's xAI with a staggering $12bn," Vladimir Kokorin recalls. The markets have never seen such an investment concentration of capital in one area before. With the AI market growing so rapidly over the past couple of years, it has become clear that the existing pool of developers alone cannot cope. Education and training itself need to go to a new and systematic level. Europe, alas, is a ponderous beast and bureaucratically heavy-handed when it comes to attracting investment while lacking a certain amount of audacity. True, Brussels does have entered the race, with European Commission head Ursula Von der Leyen announcing €200bn in February for AI development. She disagreed that Europe was too late - after all, "the AI race is far from over". For its part, the Sorbonne University of Paris, for example, has embarked on an ambitious plan to train 9,000 students a year to develop and manage AI programmes. The training period is five years. But what will AI be able learn in that time if it's already challenging human intelligence now? It is quite possible that we are now at a stage of restructuring the labour market, changing the demands of employers and investors, and developing new points of interaction. In June, the Sorbonne will host a conference on ethics in AI. The debate on the positive and negative impacts of AI on society, including workplaces, ethics and safety, is far from over, but one thing is clear: more experts are needed. For example, according to Vladimir Kokorin, "record investments in the field of artificial intelligence are intensifying the staffing hunger" right now: "The US Department of Labour expects job openings for AI specialists to grow by 23% over the next seven years - faster than most market segments. But a global skills gap has already been identified in cybersecurity, considered by many to be the foundation for the future development of AI, where there is a shortage of 4 million specialists." Kokorin concludes: "A paradoxical picture is emerging: promising startups can raise billions from investors, but there is no one to realise the ideas. 78% of companies have already declared their readiness to look for the right people all over the world. It turns out that the trend towards remote work is experiencing a renaissance". Not only the EU leadership and individual governments, but also trade unions are keen to regulate the use of AI. In Greece, for example, a new code for the use of artificial intelligence, presented by the Panhellenic Federation of Journalists' Associations (POESY), sets out rules for the use of AI in the work of media employees. In the field of intellectual labour, the rules are now mainly limited to the mandatory labelling of texts and visual materials made with the participation of artificial intelligence. At the same time, fearing for their jobs, employees of media, publishing and advertising agencies have long been delegating some of their duties, such as translation or data collection, to friendly AI. Is this a good thing or a bad thing? There's no unequivocal answer . Let's ask the AI itself what it thinks about moving away from labelled algorithms. Copilot Bing (Microsoft), when asked if AI can break protocols, answered without hesitation: "No, AI operates within predefined rules and principles set by its developers. The rules are there to ensure ethical, safe and responsible use of AI, prevent harm and maintain trust. While AI can sometimes behave unpredictably due to complex interactions in its algorithms, it has no way of deliberately circumventing the rules - everything it does is based on programmed parameters and learnt patterns. If you're asking about how AI gets around certain constraints, it often depends on human oversight and control. Developers can tweak settings, improve patterns, or create new guardrails to keep AI within ethical bounds." Do you think he's being a bit sly here? After all, at the end of that, Bing proceeded to ask what exactly made you question his adherence to the rules... *Vladimir Kokorin is an IT venture capitalist, financial analyst and columnist, founder of the British consulting company BCCM Group, and co-founder of the digital business travel platform Tumodo
Yahoo
5 days ago
- Business
- Yahoo
Subtle Medical Expands in Latin America: SubtleHD™ Now Commercially Available in Chile, Distributed by Hospiline
MENLO PARK, Calif., May 29, 2025 /PRNewswire/ -- Subtle Medical, a global leader in AI-powered medical imaging software, announced today the commercial availability of SubtleHD™ in Chile, marking an important step in expanding access to advanced imaging solutions across Latin America. The company also confirmed it will partner with Hospiline, a trusted regional distributor that currently supports Subtle Medical's growth in Brazil. SubtleHD™ is an FDA-cleared and CE-marked deep learning technology that transforms the quality of MRI images and enables up to 80% time savings on some sequences. It integrates seamlessly into existing clinical workflows, extending the life and performance of existing MRI scanners, an especially critical need across Latin America, where aging imaging infrastructure is common. In Brazil, for example, over 66% of MRI scanners are more than six years old, while demand for MRI exams is growing rapidly, estimated at 30,000 scans per million inhabitants per year. As patient volumes rise, public institutions often face long wait times, and many providers are challenged to meet demand with outdated equipment. SubtleHD helps imaging providers unlock new scan slots without purchasing new hardware, improving operational efficiency and patient throughput. With SubtleHD, healthcare institutions in Chile can now benefit from: Improved image quality even on older MRI systems Faster exam times, helping reduce patient backlog Vendor-neutral compatibility with existing infrastructure "We're thrilled to expand access to SubtleHD in Chile," said Josh Gurewitz, Chief Commercial Officer, at Subtle Medical. "With the support of Hospiline, imaging providers across the region can now harness AI to overcome infrastructure gaps, boost productivity, and elevate diagnostic confidence." About Subtle Medical Subtle Medical is a leading provider of AI-powered imaging solutions, optimizing scan efficiency and image quality across radiology. Recognized as a CB Insights GenAI 50 company and a two-time CB Insights Top AI 100 and Digital Health 150 company, Subtle Medical is committed to driving innovation in medical imaging. Deployed globally across 900+ scanners worldwide, Subtle Medical's solutions help imaging centers and hospitals improve workflow efficiency, increase scanner sustainability, and elevate patient care. Learn more and request a demo at About Hospiline Hospiline is a trusted distributor of advanced medical technologies across Latin America, committed to delivering innovative solutions that elevate patient care and clinical performance. United by a vision of excellence, we partner with leading global healthcare innovators to bring the most modern, effective technologies to hospitals, clinics, and imaging centers throughout the region. Our mission is to support and optimize the healthcare ecosystem by ensuring access to cutting-edge medical products that enhance outcomes and drive operational efficiency. Media ContactAnna Menyhart-BorroniHead of Marketinganna@ Source: BrazilUMass Medical School eScholarship SOURCE Subtle Medical, Inc. Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
Business Times
25-05-2025
- Business
- Business Times
OpenAI Jony Ive deal sets record as startup M&A gets bigger
[LOS ANGELES] Venture-backed startups are staying private for longer – and growing so much bigger – that they are starting to be major acquirers of other startups, using their highly valued stock as currency. OpenAI set a new record for a venture-backed acquisition by a private buyer this week when it agreed to buy famous hardware designer Jony Ive's company, io, for US$6.5 billion, according to data provider CB Insights. It's the seventh billion-dollar sale of one private startup to another in the past year alone, CB Insights found, a record pace. Just last week, Databricks announced that it's buying database business Neon for US$1 billion. That follows Databricks' agreement to buy another startup, Tabular, last year. Startup sales to startups can often be messy and complicated – in part because they are often all-stock deals, and it can be hard to agree on what private stock is worth. Public companies have daily market cap changes, whereas private companies are relying on metrics from months or even years ago. 'When you are playing with Monopoly money, why not buy Boardwalk?' said Scott Stanford, co-founder and partner at ACME Capital. Stanford previously led Internet investment banking at Goldman Sachs, where he found that private-to-private deal discussions regularly fell apart. BT in your inbox Start and end each day with the latest news stories and analyses delivered straight to your inbox. Sign Up Sign Up In addition to valuation considerations, Stanford said there's often a disconnect about who's going to run the business, because of the strong founding teams involved. It also depends on 'how the stakeholders behave', he added, noting that venture-backed companies tend to have a lot of independent-minded investors that might dispute a potential deal. What's changed is the scale of deals, he said. 'Add a comma and all of a sudden these problems go away.' After several years of malaise in the private markets and very few IPOs, acquisitions are looking ever more attractive – even if the buyers are private, said Heidi Mayon, a partner at Simpson Thacher. 'A lot of times I'm working with companies that think they are going public that end up getting sold,' she said. BLOOMBERG
