Latest news with #machineLearning
Irish Times
3 days ago
- Irish Times
Are we human or are we spammer?
Have you stopped answering the phone to unknown callers? Do you no longer click links in texts? Or have you, at some point, failed to convince a website's anti-spam filter that you are in fact human? Perhaps you answered 'yes' to all three, 'no' to all three, or a mixture. The possibility that a withheld number might contain an invitation to do television makes it too much for my vanity to give that one up. I'll take my chances with the fraudsters. Others have their own bespoke arrangements – calling back unknown numbers, for example – to combat fraud or impersonation. All these habits have the same cause. It is getting harder and harder to prove someone is who they say they are online. Both businesses and households must take ever-greater steps to prove that they, and the people they are dealing with, are really 'people' at all. READ MORE Advances in computing power, in generative AI and in machine learning all give companies and the state greater speed in responding to attacks of one kind or another: but they also give more powerful tools to spammers, fraudsters and bad actors. Our trust in technology – in the texts we receive, the attachments we open, the forms we fill in – is slowly withering as a result. I haven't yet seen a fake news clip or AI-generated video that is good enough to fool a keen observer. (My favourite tells are the ones trained on data so lousy with sexualised images that they are immediately ridiculous. I recently saw a 'war correspondent' supposedly reporting for 'CNN' in a plunging négligée.) But two years ago, ChatGPT wrote only about as well as a student struggling to pass their high school diploma. Now it seems to write at more of an undergraduate level. It won't be long before generative AI will be able to produce video that is indistinguishable from reality to even the most sophisticated viewer. This same ever-improving AI means that things researchers thought impractical a year ago are now possible. Government, in particular, can use it to get faster and better at making decisions and handling data. But the technology will bring casualties in its wake as well and one of them may be ecommerce as we know it. For financial transactions to be both safe and practical online, the ability to verify both who you, and the person you are conducting business with are, is essential. As machines get smarter than humans, or at least, smart enough to fake being human, verification becomes harder and the job of fraudsters easier. The reason why the various tests to 'prove you're a human' online are getting more difficult is that computers are getting smarter. Fooling The problem is that the more barriers you have to erect, the more likely it is that people will grow used to working around them and the more effective fraudsters and other bad actors will become at fooling them. Consumers will trust online and digital transactions less and businesses will behave in riskier ways as cybersecurity asks more and more of employees. The costs involved can be very large. Marks & Spencer is unusual in being incredibly open about the hit – both financial, in the shape of a £300 million blow to profits, and logistical, in that trading is still affected – of the cyber attack they have experienced. Other businesses and organisations, without customers or shareholders to mollify, often treat these breaches as a personal embarrassment. And where the problem hits the headlines, the consequences linger on for much longer. The British Library has not fully recovered from the ransomware attack it experienced two years ago. Hackney Council, in east London, is still feeling the effects of a cyber attack half a decade ago. How can the problem be solved? Some in cyber security fear that the long-term answer is, 'It can't'. History teaches us that the only way knowledge can be unlearnt is through a societal collapse of a kind no one should wish to live through. So simply prohibiting the use of new, smarter machines is a non-starter. The same technological advances allowing us to improve productivity in the regular economy are the ones that make us more vulnerable to cyber attack, more prone to impersonation, and make fake images and video harder and harder to distinguish from the real world. What should we do instead? As smart machines do more and more work in research, bureaucracy and design, one solution to the 'verification problem' may be that anything that requires peer-to-peer checking increasingly returns to face-to-face encounters. The next wave of jobs may not be as cyber experts, but as bank tellers. – Copyright The Financial Times Limited 2025
Forbes
3 days ago
- Business
- Forbes
FICO's Evolution From Scores To Scalable Software Intelligence
FICO headquarters in San Jose, California Mike Trkay, Chief Information Officer of FICO, plays a pivotal role in the company's transformation from a credit score provider to a $2 billion analytics software powerhouse. 'We have a number of products in our portfolio that are embedded with data modeling, machine learning and analytics,' he said. From fraud detection systems used by banks to software powering TSA security and logistics operations, FICO has evolved well beyond its origins. With over 60 years of legacy, FICO now operates across two primary strategic business units: the widely known FICO scores and its analytics software division. Throughout the company's history, it has differentiated through data analytics deeply embedded in software, and as capabilities related to data analytics have grown, FICO has continued to invest in the state-of-the-art. As such, Trkay's role is unusually broad, and his influence is just as broad. Redefining the CIO Role for Customer-Facing Innovation Trkay's responsibilities extend far beyond traditional CIO role. '[Traditional responsibilities are]The shift also brought Trkay into closer proximity with customers. 'It started with them wanting confidence that they weren't getting more of the same,' he said, describing early interactions with customers. That engagement matured over time, making operations not just a backend function but a key differentiator in FICO's go-to-market approach. Becoming a Strategic Partner Through Operational Excellence Unlike many CIOs whose customer interactions remain limited, Trkay and his team are now integral to FICO's client strategy. 'Our operations have actually grown into one of our sales strengths,' he noted. Clients not only evaluate software functionality but also look closely at the reliability of service delivery. 'World-class operations become a market differentiator.' FICO CIO Mike Trkay Trkay views operations as essential to revenue retention and long-term client success, and he thinks about his team's fit with other customer-facing functions within FICO with the analogy of personal relationships. 'The sales team gets to date the customer, professional services are the engagement, and operations is the marriage,' he quipped. His organization measures success through KPIs tied directly to customer satisfaction and risk mitigation. 'Are we creating risk for divorce?' he asked in keeping with the analogy. 'That's a key question we ask ourselves.' Building a Team Fit for Performance and Scale FICO's operating model demands a uniquely structured team. The corporate IT function is led by a dedicated executive, Matt Dixon, who Trkay says would be what you'd call the CIO in most companies. Supporting him are customer-facing groups like technical operations, customer support and engineering. 'We cover apps, infrastructure and customers,' Trkay said. His team includes system administrators, DevOps engineers and software professionals who deploy, manage and scale production environments. Customer support roles also require soft skills to complement technical acumen. 'These are the people answering the phone, interfacing with the client and resolving complex issues,' he added. AI-Driven Operations and a Passion for AIOps A self-proclaimed advocate for AIOps, Trkay is leveraging artificial intelligence and machine learning to transform FICO's internal operations. 'We're an AI and analytics company,' he emphasized. 'It's in our DNA.' The exponential growth of data from observability and monitoring has made human analysis nearly impossible. Trkay emphasized the transition from rules-based systems to model-based solutions. 'Models have been trained to recognize signals, correlate root causes and even recommend or implement fixes,' he explained. 'It's one of my true passions. I probably get more involved than I should, but the impact is too important to ignore.' Leading Through Experience and Enabling Customer Success The transformations FICO has undergone, from on-prem to cloud and from cloud to platform, mirror those of its clients. Trkay sees this not as a coincidence but as a strength. 'We've gone on the journey ourselves,' he said. 'We're not talking about theory or potential. We're talking about lived experience.' He noted how this evolution has changed customer conversations. 'Platforms bring business and technology back together,' he noted. 'We're no longer just speaking with CROs. We're now seeing CTOs reenter the dialogue, because platforms demand that level of integration and extensibility.' Innovation to Stay Ahead of Unprecedented Growth Since Trkay joined FICO, the company's stock has risen roughly 3,600%. Managing ahead of that growth has required constant innovation. 'The 'I' in CIO needs to stand for innovation,' he underscored. 'We have to flip the IT stereotype on its head. Our job is to innovate to stay stable.' Whether enabling real-time fraud detection at scale or ensuring ultra-low latency across tens of thousands of transactions per second, Trkay's team has had to be forward-thinking and agile. 'We're not just keeping up with growth,' he said, adding 'We're staying ahead of it.' Focused Language Models Looking forward, Trkay is enthusiastic about the rise of focused language models. 'Everyone knows about large language models like ChatGPT,' he said, 'but when you're an enterprise, you need models with specificity.' These smaller, industry- or use-case-specific models promise better accuracy and reduced hallucination. 'There's a very specific language around network data and technology incidents,' Trkay explained. 'Focus language models will be key to transforming how we apply AI to operations, financial services and beyond.' Trkay's impact at FICO reflects a broader shift in the role of technology leadership, one that fuses innovation, operational excellence and direct customer engagement. By driving AI-powered infrastructure, embedding himself in client-facing functions and preparing the company for sustained hypergrowth, Trkay has helped position FICO not only as a leader in analytics software but also as a model for modern, platform-driven enterprise transformation. Peter High is President of Metis Strategy, a business and IT advisory firm. He has written three bestselling books, including his latest Getting to Nimble. He also moderates the Technovation podcast series and speaks at conferences around the world. Follow him on Twitter @PeterAHigh.
Finextra
4 days ago
- Business
- Finextra
Global spend on AML tech projected to hit $2.9 billion in 2025
Global spend on Anti-Money Laundering (AML)/ Know-Your-Customer (KYC) data & services is projected to total a record $2.9 billion in 2025, according to a new research report published today by Burton Taylor Consulting. 0 Other key findings include: • Financial institutions have stepped up their dependence on AI and machine learning to identify suspicious activity in real-time, enhancing the accuracy of threat detection. • The growing digitization of the business challenges firms to expand their surveillance of their processes, presenting significant challenges for siloed organizations. • Regulating agencies are enacting stricter laws for cryptocurrency, which is embraced by a larger segment of business, expanding the scope of potential financial crimes. Perpetual KYC, which provides continuous surveillance of business transactions, raises the importance of market data needed to flag suspicious activities. Further, enhanced global collaboration is playing a larger role in the AML KYC process, with collaborative AI platforms facilitating the exchange of intelligence and insights, contributing to a more effective defense against financial crimes 'In today's digital landscape, online outlets rapidly intensify reputational damage from compliance failures. This heightened exposure has magnified the demand for comprehensive, real-time data solutions. Organizations now recognize that reputations built over decades can be devastated by a single compliance incident that goes viral.' notes Hadley Weinberger, Burton Taylor's senior analyst and author of this research. Burton-Taylor today announced the publication of its Anti-Money Laundering/Know Your Customer Data & Services Global Market Share 2025 report. The report benchmarks the AML/KYC data & services industry, focusing on overall market sizing and industry trends. The report also examines the vendor landscape, highlighting the key capabilities of the industry's top providers with a focus on data coverage, risk screening, and due diligence solutions of each.
Yahoo
4 days ago
- Automotive
- Yahoo
AI-Driven Battery Management Systems Market to Reach $18.5 Billion by 2032, Growing at a CAGR of 20.6% from 2025, Says Meticulous Research®
Market Growth Powered by Electric Vehicle Expansion, Energy Storage Demand, Advanced Thermal Management Requirements, and Digital Twin Technology Integration REDDING, Calif., June 25, 2025 /PRNewswire/ -- According to a comprehensive market research report titled "AI-Driven Battery Management Systems Market by Component (Hardware, Software, Services), Application (Electric Vehicles, Energy Storage), Distribution Channel, End User, and Geography - Global Forecast to 2032", the AI-driven battery management systems market is projected to reach $18.5 billion by 2032, up from an estimated $4.1 billion in 2025, growing at a robust CAGR of 20.6% during the forecast period. The explosive growth of the AI-driven battery management systems market is fueled by the critical need for enhanced battery performance optimization, extended lifecycles, and advanced safety protocols across electric vehicles and energy storage applications. The market's expansion is driven by increasing adoption of predictive analytics, state-of-charge (SOC) and state-of-health (SOH) precision requirements, and the integration of machine learning algorithms for real-time battery monitoring and thermal management. The industry is experiencing revolutionary transformation through digital twin technology adoption, wireless BMS architectures, edge AI processing capabilities, and the shift from hardware-centric to software-defined solutions. Leading companies are leveraging cloud-to-edge computing architectures while expanding into vehicle-to-grid (V2G) integration and Battery-as-a-Service (BaaS) models for next-generation energy management solutions. For more comprehensive insights, download the FREE report sample: Revolutionary Market Transformation Through Intelligent Battery Optimization The AI-driven battery management systems market represents a paradigm shift in energy storage technology and intelligent power management. As industries increasingly demand longer battery lifecycles, enhanced safety protocols, and precise performance monitoring, AI-enabled BMS solutions offer revolutionary capabilities that address the growing complexity of modern battery applications across automotive, energy storage, and data center environments. Market leaders are investing heavily in advanced machine learning algorithms and edge computing technologies, establishing development capabilities that can deliver real-time battery optimization, predictive maintenance, and adaptive thermal management. This technological advancement is making AI-driven BMS solutions increasingly accessible while delivering superior performance, safety, and operational efficiency benefits. Dynamic Growth Across Key Market Segments The Software and AI Solutions segment dominates the market in 2025, capturing the largest share due to growing adoption of predictive analytics and state estimation algorithms essential for battery optimization and safety. However, the Hardware segment is experiencing the fastest growth, driven by increasing demand for real-time, on-device processing and AI-optimized BMS processors for edge computing applications. In services categories, the Implementation & Integration Services segment leads with the largest market share, reflecting the complexity of incorporating AI technologies into existing battery infrastructures. The Data Centers segment accounts for the fastest growth in applications, driven by critical requirements for uninterrupted power and precise battery monitoring in backup systems. Get Insightful Data on Regions, Market Segments, Customer Landscape, and Top Companies (Charts, Tables, Figures and More) - Strategic Market Opportunities and Innovation Drivers The market presents extraordinary growth opportunities through digital twin technology integration, wireless BMS architecture adoption, and expansion into second-life battery applications. Companies are discovering new revenue streams through vehicle-to-grid integration and Battery-as-a-Service models while establishing performance-based licensing frameworks for intelligent energy management ecosystems. Key market drivers include: Rising Electric Vehicle Adoption: Global EV sales growth driving demand for advanced battery management with enhanced range, fast charging, and safety capabilities Energy Storage System Expansion: Utility-scale projects requiring grid stabilization, renewable energy integration, and peak demand management solutions Data Center Power Requirements: Critical need for uninterrupted power and precise battery monitoring with AI-enhanced real-time health insights and predictive maintenance Advanced Thermal Management: Growing adoption of fast charging technologies requiring sophisticated temperature control and safety protocols Regional Market Leadership and Emerging Growth North America commands the largest market share in 2025, driven by advanced electric vehicle adoption, substantial R&D investments, strong regulatory frameworks supporting battery safety and efficiency, and established infrastructure for energy storage deployment across automotive and utility sectors. Asia-Pacific emerges as the fastest-growing region, propelled by large-scale EV production in China, South Korea, and Japan, proactive government initiatives advancing battery technologies, rising deployments of energy storage systems, and massive manufacturing scale supporting market expansion across emerging economies. Europe represents a significant market, supported by stringent environmental regulations driving EV adoption and robust investment in renewable energy storage infrastructure requiring advanced battery management capabilities. Request a customized research analysis tailored to your specific requirements: Dynamic Competitive Landscape Driving Innovation The global AI-driven battery management systems market features an innovative competitive ecosystem comprising established battery manufacturers, semiconductor companies expanding AI capabilities, and specialized software-focused startups gaining significant market share. This diverse landscape fosters rapid technological advancement and algorithm development. Industry leaders are implementing integrated solutions that combine advanced machine learning algorithms with edge computing capabilities and digital twin modeling. Companies are pursuing vertical integration strategies while addressing battery optimization and safety challenges across different applications and geographic markets. Immediate Delivery Available | Buy this Research Report (Insights, Charts, Tables, Figures and More) - Market Leaders Shaping Industry Future Key players driving the global AI-driven battery management systems market include CATL (Contemporary Amperex Technology Co., Limited) (China), LG Energy Solution, Ltd. (South Korea), Panasonic Holdings Corporation (Japan), Tesla, Inc. (U.S.), Samsung SDI Co., Ltd. (South Korea), BYD Company Limited (China), Siemens AG (Germany), Texas Instruments Incorporated (U.S.), Analog Devices, Inc. (U.S.), NXP Semiconductors N.V. (Netherlands), Northvolt AB (Sweden), Infineon Technologies AG (Germany), TWAICE Technologies GmbH (Germany), ABB Ltd. (Switzerland), and Bosch Mobility Solutions (Robert Bosch GmbH) (Germany). Latest Industry Developments Recent market developments include: Major Trend Shifts: Transition from hardware-centric to software-defined BMS solutions, integration of digital twin technology for predictive battery modeling, and adoption of wireless BMS architectures for weight reduction and improved performance Technology Advancement: Development of edge AI processors optimized specifically for battery applications, enabling real-time local processing while continuously improving algorithms through fleet-wide learning Business Model Innovation: Emergence of performance-based BMS licensing models and Battery-as-a-Service offerings reducing upfront capital expenditure while ensuring long-term battery performance optimization Related Reports: Battery Energy Storage System Market $43.7B by 2030 | 28.8% CAGR Growth | Meticulous Research Battery Management Systems Market Forecast: Strategic Analysis and Growth Opportunities Electric Bike Kits Market by Drive Type, Component, and Regional Analysis Variable Frequency Drive Market $34.2B by 2032 | 5.1% CAGR Growth | Meticulous Research About Meticulous Research We are a trusted research partner for leading businesses worldwide, empowering Fortune 500 organizations and emerging enterprises with market intelligence designed to drive revenue transformation and strategic growth. Our insights reveal future growth opportunities, equipping clients with a competitive edge through a versatile suite of research solutions—including syndicated reports, custom research, and direct analyst engagement. To find out more, visit or follow us on LinkedIn. Contact:Mr. Khushal BombeMeticulous Market Research Pvt. Ltd.1267 Willis St, Ste 200 Redding,California, 96001, +1-646-781-8004Europe: +44-203-868-8738APAC: +91 744-7780008Email- sales@ Our Website: with us on LinkedIn- Source: Logo: View original content: SOURCE Meticulous Market Research Pvt. Ltd. Sign in to access your portfolio
Globe and Mail
6 days ago
- Business
- Globe and Mail
Snowflake Deepens AI Integration: Is the Growth Thesis Strengthening?
Snowflake SNOW is deepening its AI integration across platform layers, driving strong adoption and strengthening its competitive position in enterprise infrastructure. Latest innovations like Snowflake Intelligence and Data Science Agent, SnowConvert AI and Cortex AISQL, as well as Cortex Knowledge Extensions, are expected to help SNOW expand clientele. Currently, more than 5,200 accounts use Snowflake's AI and machine learning solutions on a weekly basis. The launch of Cortex Gen2 expands Snowflake's platform capabilities with improved analytics performance and adaptive compute to support scalable AI workloads. Openflow introduces a managed ingestion layer for structured, unstructured and streaming data-enhancing interoperability and data movement across the AI Data Cloud. These innovations are designed to accelerate developer adoption and broaden AI applications. Snowflake is leveraging these platform upgrades to drive adoption across enterprise functions. The company's partnership with Acxiom enables Real ID-based customer activation inside Snowflake's clean rooms, supporting AI-driven campaigns without data movement. Design giant Canva has adopted Snowflake's AI stack to personalize user experiences, streamline lead routing and scale global product velocity. These wins reflect the expanding relevance of SNOW's AI infrastructure across marketing, design and B2B operations. SNOW Faces Stiff Competition Snowflake faces rising competition from Palantir Technologies PLTR and Datadog DDOG, both of which are strengthening their AI infrastructure and enterprise data capabilities. Palantir is advancing its position through its Artificial Intelligence Platform (AIP), which enables secure deployment of large language models across regulated environments. AIP integrates governance, explainability and operational control, helping enterprises adopt AI at scale. Palantir's commercial momentum and deep presence in mission-critical sectors position it as a full-stack competitor in AI-native infrastructure. Datadog is reinforcing its developer-first model with expanded observability capabilities, including AI-driven telemetry pipelines, diagnostics and real-time alerting. Its platform supports cloud-native enterprises managing dynamic workloads and increasingly overlaps with Snowflake's AI Data Cloud stack. Datadog's continued investments in GenAI integrations and predictive analytics enhance its competitive position in enterprise-scale data environments. SNOW's Share Price Performance, Valuation and Estimates Snowflake shares have appreciated 37.2% year to date, outperforming the broader Zacks Computer & Technology sector's return of 0.5% and the Zacks Internet Software industry's increase of 11.3%. SNOW's YTD Price Performance Image Source: Zacks Investment Research Snowflake stock is trading at a premium, with a forward 12-month Price/Sales of 14.43X compared with the industry's 5.62X. SNOW has a Value score of F. SNOW's Valuation Image Source: Zacks Investment Research The Zacks Consensus Estimate for second-quarter fiscal 2026 earnings is pegged at 26 cents per share, down by a penny over the past 30 days, indicating 44.44% year-over-year growth The consensus mark for SNOW's fiscal 2026 earnings is pegged at $1.06 per share, which has declined by 6 cents over the past 30 days. The figure indicates a 27.71% increase year over year. Snowflake currently carries a Zacks Rank #3 (Hold). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Zacks' Research Chief Names "Stock Most Likely to Double" Our team of experts has just released the 5 stocks with the greatest probability of gaining +100% or more in the coming months. Of those 5, Director of Research Sheraz Mian highlights the one stock set to climb highest. This top pick is a little-known satellite-based communications firm. Space is projected to become a trillion dollar industry, and this company's customer base is growing fast. Analysts have forecasted a major revenue breakout in 2025. Of course, all our elite picks aren't winners but this one could far surpass earlier Zacks' Stocks Set to Double like Hims & Hers Health, which shot up +209%. Free: See Our Top Stock And 4 Runners Up Click to get this free report Snowflake Inc. (SNOW): Free Stock Analysis Report Datadog, Inc. (DDOG): Free Stock Analysis Report Palantir Technologies Inc. (PLTR): Free Stock Analysis Report
