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  • Cyberattacks using GenAI tech expected to increase next year

    generative artificial intelligence

    Cyberattacks using GenAI tech expected to increase next yearIANS

    Cyberattacks utilising generative artificial intelligence (GenAI) technology as a tool are expected to grow next year, a government report showed on Wednesday.

    In 2025, hacking groups are expected to increasingly use various generative AI models, such as ChatGPT, to create spear phishing emails customized to their attack subjects and fake news materials to be used for political propaganda, according to the annual cybersecurity report issued by the Ministry of Science and ICT.

    “It will be difficult to tell the authenticity of sophisticated content created with the help of AI,” the report said, noting such content could rapidly spread across the internet and influence people’s judgment.

    “The manipulation of public opinion by certain groups could lead to social conflict and confusion.”

    The report also warned of a possible increase in blackmail cases using deepfake materials as witnessed in the country earlier this year, reports Yonhap news agency.

    Hackers use OTP APIs for SMS bombing, 44 Indian APIs exposed

    Cyber authorities saw a notable increase in cyberattacks on software supply chains using advanced ransomware attack methodsIANS

    South Korea saw a series of deepfake sex crime cases in early 2024, with police having apprehended 506 suspects in such cases as of October.

    Additionally, the report said activities of state-sponsored hacking groups may increase next year due to global political uncertainties following the re-election of Donald Trump as U.S. president.

    “The United States is expected to make policy shifts toward easing regulations on technology and virtual asset industries and promoting protectionism,” the report said, warning those changes could lead to an increase in attacks on cryptocurrency exchanges and companies developing strategic technologies, such as AI and quantum.

    This year, cyber authorities saw a notable increase in cyberattacks on software supply chains using advanced ransomware attack methods and smishing attacks targeting the general public, according to the report.

    (With inputs from IANS)

  • Verizon collaborates with NVIDIA to power AI workloads on 5G private networks with mobile edge compute – CRN

    Verizon collaborates with NVIDIA to power AI workloads on 5G private networks with mobile edge compute – CRN

    Verizon, announced a new solution developed with NVIDIA that enables a wide range of AI applications to run over Verizon’s reliable 5G private network with private Mobile Edge Compute (MEC), demonstrating the transformative power of this innovation to enterprises. Verizon’s 5G Private Network with Enterprise AI solution brings together Verizon’s secure, reliable, low-latency 5G private network and private MEC with NVIDIA AI Enterprise software platform and NVIDIA NIM microservices to deliver powerful, real-time AI services on premises for enterprise customers. Verizon engineers will begin demonstrations of this solution in early 2025.

    “Generative AI, with its predictive capabilities, is poised to be a critical component of digital transformation and future business growth in almost all industries,” said Srini Kalapala, Senior Vice President of Technology and Product Development at Verizon. “We’re leveraging our network’s unique strengths including private networks and Verizon’s global industry leadership in private MEC, combined with NVIDIA’s AI compute capabilities to enable real-time AI applications that require security, ultra-low latency, and high bandwidth. Our ongoing investment in our network infrastructure means we’re uniquely positioned to deliver these powerful AI services at scale, driving the digital transformation and fueling the future growth of businesses worldwide.”

    “Enterprises everywhere are racing to integrate AI solutions that bring new value to their employees, partners and customers, and can also help them operate with extreme efficiency,” said Ronnie Vasishta, senior vice president of telecom at NVIDIA. “Verizon’s integration of NVIDIA’s full stack AI platform into its new solution for running AI workloads on private 5G networks is a big step forward in helping enterprises of all sizes reach their business objectives faster with AI.”

    The new AI powered private 5G platform stack is a Verizon and NVIDIA developed infrastructure designed to be plug & play, helping third-party developers to innovate with speed, while also accommodating future evolutions in AI computing and a variety of AI and connectivity applications. It can support multi-tenancy for multiple use cases or customers, is modular to be able to scale as needed for a bespoke solution for various applications, and can provide these services remotely via portable private network solutions or on a customer’s premise with a permanent private network on site. The stack is being built to handle compute intensive apps including Generative AI Large Language Models and Vision Language Models, Video streaming, broadcast management, Computer Vision (CV), Augmented/Virtual/Extended Reality (AR/VR/XR), Autonomous Mobile Robot/ Automated Guided Vehicle (AMR/AGV), and IoT.

    Key benefits of the Verizon 5G Private Network with Enterprise AI solution include:

    Ultra-Low Latency: Verizon’s Private 5G Network provides the ultra-low latency required for real-time AI processing at the edge, critical for applications like robotics, and augmented reality.
    High Bandwidth and Reliability: The dedicated bandwidth and enhanced reliability of a private 5G network ensure optimal performance for data-intensive AI workloads.
    Enhanced Security and Control: Private 5G networks offer improved security and control over data and applications, essential for businesses with sensitive AI workloads.
    Scalability and Flexibility: The solution can be tailored to meet the specific needs of different industries and use cases, providing scalability and flexibility for future growth.
    AI Processing at the Edge: Verizon private network customers can run their AI application workloads and services at the premise edge with Mobile Edge Compute to prevent compute intensive applications from traversing the internet, leading to quick decision making with local processing and inferencing.

    A PwC Global Artificial Intelligence Study reported that 75% of business executives considered AI a business advantage and were either already using it or planning to do so. A McKinsey Global Survey on AI indicated that 50% of companies had adopted AI in at least one business function, with 71% planning to expand AI use in the near future. These insights underscore the importance of mobile networks being able to support AI workloads in the future. It is estimated that 5G will power $12 trillion in global economic output by 2035,with AI-enabled devices playing a key role in transforming industries like healthcare, manufacturing, and logistics. The need for networks to manage AI workloads has never been greater.

    “In today’s rapidly evolving digital landscape, staying ahead of the curve is essential for businesses to thrive. That’s where Verizon comes in. We don’t just offer connectivity; we deliver cutting-edge solutions that empower our customers to anticipate and adapt to change. It’s why major industries across the board choose Verizon,” said Kalapala.

    Verizon was the first to launch Mobile Edge Compute and continues its global leadership in edge computing capabilities. Verizon’s collaboration with NVIDIA to power AI workloads on private 5G networks represents a significant advancement in enterprise AI capabilities. This solution, which the innovation partners expect will be available for demonstrations in February, will enable businesses to deploy powerful AI applications at the edge, driving innovation and efficiency across various sectors.

  • How Google News fought misinformation in India in 2024

    Google's new AI model outperforms world's best weather forecast system

    Google News emerged as a key player in combating misinformation in India in 2024IANS

    In 2024, Google News emerged as a key player in the fight against misinformation in India, a year marked by significant global events, including major elections and crises. The tech giant’s contributions to the Indian news ecosystem were highlighted, emphasizing the importance of newsrooms in providing accurate and timely information. Google News supported the Shakti initiative, a collaborative effort to combat misinformation, and provided AI training to newsrooms. The Shakti initiative brought together over 50 news publishers and 300 journalists to debunk misinformation and deepfakes in 10 local languages, reaching a vast audience. 

    The programme enabled newsrooms to publish fact-checks 78 per cent faster and facilitated the creation of over 67 new fact-checking desks. In just three months, over 6,600 fact-checks were amplified, leading to a 180 per cent surge in regional language fact-checks and a 92 per cent increase in election-related fact-checks.

    Google News also empowered India’s news ecosystem through initiatives like the Indian Languages Programme, which boosted user engagement and ad revenue for local publishers. The programme supported over 500 publishers from 28 states in nine languages, leading to a 15 per cent increase in active users and a 32 per cent increase in page views since June 2023.

    Artificial intelligence (AI)

    AI has made it easy for anyone with a smartphone and a devious imagination to create fakeIAN

    However, the fight against misinformation is not limited to India. Globally, tech companies have been grappling with the spread of election misinformation. In the US, major internet platforms like Meta, Twitter, and YouTube took decisive action following the Capitol riots in 2021, suspending thousands of accounts spreading election lies.

    However, since then, the industry has undergone a dramatic transformation, pivoting away from many of the commitments, policies, and tools it once embraced to safeguard democratic power. In a similar vein, the Supreme Court sided with the Biden administration in a dispute with Republican-led states over the federal government’s role in combating controversial social media posts on topics including COVID-19 and election security.

    The threat of election disinformation has been supercharged by the advent of artificial intelligence. AI has made it easy for anyone with a smartphone and a devious imagination to create fake but convincing content aimed at fooling voters. This marks a significant leap from a few years ago when creating phony photos, videos, or audio clips required teams of people with time, technical skill, and money.

    In response to this, Google restricted its Gemini AI chatbot from answering election-related questions in countries where voting was taking place in 2024. This was done out of an abundance of caution to prevent the spread of misinformation about candidates, political parties, and other elements of politics.

    Despite these challenges, tech companies have shown a commitment to combating AI-generated election trickery. Major technology companies signed a pact to voluntarily adopt “reasonable precautions” to prevent artificial intelligence tools from being used to disrupt democratic elections around the world.

  • Eighty percent of security leaders prefer platform-based GenAI, finds CrowdStrike state of AI survey – CRN

    Eighty percent of security leaders prefer platform-based GenAI, finds CrowdStrike state of AI survey – CRN

    Elia Zaitsev, CTO at CrowdStrik

    According to the 2024 State of AI in Cybersecurity Survey from CrowdStrike, 80% of security leaders prefer platform-based GenAI tools over point products and applications, highlighting the growing demand for integrated technologies that enhance efficiency and effectiveness across security operations.

    The survey also revealed that 63% of respondents stated they would overhaul their current security stack to adopt fully integrated GenAI solutions, underscoring a decisive shift toward platform-driven cybersecurity strategies. As organisations grapple with skills shortages, increased adversary speed and sophistication, and operational complexity, the findings spotlight a clear path forward: purpose-built, platform-integrated GenAI solutions designed to meet the unique demands of cybersecurity.

    Key Findings from the 2024 State of AI in Cybersecurity Survey
    Platform or Nothing: 80% of respondents prefer GenAI technology delivered as part of a unified cybersecurity platform, with integration ranked as the top adoption priority.
    Stopping Breaches a Top Requirement: With 74% of respondents reporting a breach in the last year or expressing concerns about vulnerabilities, better detection and response capabilities are a key driver of GenAI adoption.
    Purpose-built for Security: 76% of respondents demand GenAI tools designed specifically for cybersecurity, rejecting general-purpose tools.
    Analyst Augmentation, Not Replacement: Respondents overwhelmingly view GenAI as a tool to enhance the security analyst experience by boosting productivity, reducing burnout and alert fatigue, and accelerating onboarding – without replacing human expertise.
    Responsible Adoption: Nearly 90% of respondents are proactively establishing security guidelines for GenAI use, emphasing the importance of built-in safety and privacy controls, with most respondents viewing integration, safety and privacy as essential for unlocking GenAI’s full potential.

    “GenAI is already revolutionising cybersecurity and has the potential to do even more. The 2024 State of AI Survey reinforces a clear shift in the industry: Organisations are no longer interested in piecemeal solutions when adopting transformative technology – they demand the power of the platform,” said Elia Zaitsev, CTO at CrowdStrike. “Unlocking GenAI’s true potential lies in seamless integration across systems and data, optimising analyst productivity and accelerating threat detection and response. This is our approach with Charlotte AI, one of the industry’s first purpose-built, fully integrated GenAI security analyst assistants, and we look forward to continually pushing the boundaries of innovation on our mission to stop breaches.”

    CrowdStrike’s Approach: A Purpose-built Platform for GenAI
    CrowdStrike is redefining the cybersecurity landscape with Charlotte AI, a purpose-built GenAI solution that empowers security and IT teams to outpace adversaries and stop breaches – setting a new standard for speed, accuracy and efficacy in security operations. With its recently launched CrowdStrike AI Red Team Services and CrowdStrike Falcon® cybersecurity platform innovations like Falcon Cloud Security AI-SPM and Falcon Data Protection, CrowdStrike is also at the epicenter of securing the infrastructure, systems and models driving the AI revolution.

  • Transforming Customer Relationship Management: The Synergy of AI and Cloud Integration

    Davinder Pal Singh

    The fusion of Artificial Intelligence (AI) with cloud computing is revolutionizing Customer Relationship Management (CRM) systems. According to Davinder Pal Singh, a technical architect specializing in innovative technologies, this integration is reshaping the way businesses engage with customers and optimize operations. His analysis highlights a transformative shift that positions CRM systems as critical drivers of digital success.

    Cloud-Driven Scalability and Real-Time Capabilities
    Cloud computing has elevated CRM systems with unmatched scalability and reliability. Distributed architectures achieve fault tolerance rates of 99.995%, ensuring seamless operations even under high loads. Microservices architecture, a cornerstone of modern CRM, allows businesses to deploy new features within minutes, drastically reducing operational downtime.

    Edge computing has further revolutionized CRM performance by processing customer interactions closer to the source. This reduces latency to just 11.5 milliseconds, enabling platforms to manage millions of interactions in real time. These advancements equip businesses to handle customer demands with speed, precision, and resilience.

    AI-Powered Personalization and Analytics
    AI integration has redefined CRM systems by enabling advanced personalization and predictive insights. Natural Language Processing (NLP) tools achieve over 92% accuracy in intent recognition, allowing businesses to respond effectively to customer queries. Predictive analytics further enhance CRM capabilities, with models achieving 84% accuracy in churn prediction and a 76% improvement in sales forecasting.

    AI’s ability to analyze customer behavior and preferences empowers organizations to deliver tailored experiences. Sentiment analysis and behavioral predictions enable businesses to address customer needs proactively, boosting satisfaction, retention, and lifetime value. These capabilities shift CRM systems from reactive tools to proactive enablers of strategic engagement.

    Automation: The Efficiency Catalyst
    Automation is transforming CRM operations by streamlining workflows and reducing manual effort. Modern systems automate 91.5% of standard processes, significantly lowering error rates to just 0.18%. Intelligent routing mechanisms analyze millions of decisions daily with an accuracy of 95.9%, ensuring efficient resolution of customer inquiries.

    These advancements translate to a 46% reduction in resolution times and a 38% improvement in first-contact resolution rates. Businesses benefit from lower operational costs and improved productivity, enhancing the customer experience while maximizing resource efficiency.

    Enhancing Data Security and Management
    Data security and management are foundational to modern CRM systems. Advanced encryption protocols like AES-256 safeguard sensitive customer information with minimal performance impact. Role-based access controls (RBAC) add another layer of security, managing thousands of roles and permissions with an accuracy rate of 99.995%.

    Modern CRM platforms process up to 1.2 million events per second while ensuring data consistency rates of 99.995%. Predictive caching and in-memory computing enable faster data retrieval, supporting real-time interactions while maintaining data integrity. These features ensure that businesses can meet regulatory requirements and protect customer trust.

    Emerging Technologies Shaping the Future
    Emerging technologies like quantum computing and IoT integration are set to further revolutionize CRM systems. Quantum algorithms have demonstrated the ability to process complex datasets at speeds up to 142 times faster than conventional methods, enhancing decision-making and customer segmentation.

    IoT integration enables real-time connectivity with customer devices, providing deeper insights into behavior and facilitating proactive solutions. For example, predictive maintenance and personalized recommendations enhance customer engagement and streamline operations. These technologies promise to expand the potential of CRM platforms, making them even more integral to business growth.

    In conclusion, Davinder Pal Singh’s exploration of AI and cloud integration in CRM highlights a transformative shift toward efficiency, personalization, and security. These advancements address challenges and unlock opportunities, positioning CRM systems as vital tools in the digital age. As technologies like quantum computing and IoT evolve, the insights provide a clear roadmap for leveraging these innovations to drive growth and enhance customer relationships.

  • Gil Shwed becomes Executive Chairman, Nadav Zafrir appointed CEO at Check Point Software Technologies – CRN

    Gil Shwed becomes Executive Chairman, Nadav Zafrir appointed CEO at Check Point Software Technologies – CRN

    Gil Shwed and Nadav Zafrir

    Check Point Software Technologies Ltd. announces the transition of Gil Shwed into the role of Executive Chairman of the Board of Directors, and the appointment of Nadav Zafrir as the company’s new Chief Executive Officer, starting December 16th.

    “Check Point embarks on a new chapter, with my transition into my new role as Executive Chairman and the appointment of Nadav as the company’s new CEO. I’ve known Nadav for many years and he is the perfect fit to lead Check Point to new heights,” said Mr. Shwed. “I have full confidence in the company’s strategy, strength, leadership and employees, and we will work together to ensure this new journey brings even more success than we’ve achieved so far.”

    “I am honoured to join Check Point as its new CEO,” said Mr. Zafrir. “To lead an iconic cyber security company at such a pivotal time for our industry is both a privilege and a profound responsibility. Our world relies on trust, and Check Point’s mission to establish and protect that trust has never been more critical. We are uniquely positioned to live up to this mission, and shape the future of the cyber security industry. I thank Gil for his confidence and visionary leadership and I am grateful to have him as a partner and mentor as our Chairman.”

    Most recently, Mr. Zafrir was the co-founder and managing partner at Team8, a company-building venture group focused on cyber security, data & AI, fintech, and digital health. Prior to Team8, Mr. Zafrir established the IDF’s Cyber Command and served as Commander of the elite Unit 8200, eventually retiring as a Brigadier General. He is a board member of SolarEdge Technologies (after serving as chairman for five years), and has also served on the boards of 14 private cyber security companies.

  • AI and GIS Integration Reshapes Our Understanding of Geographic Data

    Arun Kumar Epuri

    In his groundbreaking research article, technology expert Arun Kumar Epuri explores how Artificial Intelligence (AI) is revolutionizing Geographic Information Systems (GIS), pushing the boundaries of spatial data analysis. By bridging the gap between traditional mapping and advanced predictive modeling, AI-GIS integration is reshaping the way we understand and interact with geographical landscapes.

    From Simple Mapping to Smart Analysis
    Since the 1990s, the fusion of AI and GIS has transformed geographic data processing. Early systems focused on basic spatial analysis, but modern AI-driven GIS technologies process millions of geographic features with remarkable efficiency—up to 20 times faster than traditional methods. These advancements have enabled applications ranging from urban planning to environmental conservation.

    Precision in Environmental Monitoring
    One of the most significant impacts of AI-GIS integration is in environmental monitoring. Today, these systems analyze up to 100,000 square kilometers of satellite imagery daily, detecting land cover changes and urban expansion with unprecedented precision. Accuracy rates in distinguishing forest types have reached 92%, a breakthrough for conservation efforts. Moreover, AI models are now poised to predict climate change impacts with 85% accuracy by 2030, allowing for more targeted conservation strategies.

    Smart Cities and Urban Transformation
    AI-enhanced GIS is revolutionizing urban planning and management. In cities, intelligent routing algorithms have reduced commute times by 20%, while optimized logistics systems have decreased delivery times and fuel consumption by 30% and 20%, respectively. For major metropolitan areas, these advancements translate into enhanced economic productivity and improved quality of life. Real-world applications, such as streamlined traffic management systems in densely populated cities, underscore the transformative potential of this technology.

    Revolutionizing Disaster Management
    Natural disaster management has also benefitted immensely. AI-integrated GIS systems predict flood patterns with 90% accuracy up to 72 hours in advance. This capability has enabled emergency responders to deploy optimized strategies, saving countless lives. By combining real-time data analysis with AI, these systems offer unparalleled accuracy in risk assessments during crises.

    Human-Centric Impact and Case Studies
    The true power of AI-GIS technology lies in its impact on people. In urban environments, citizens experience reduced commute times, while communities in disaster-prone areas benefit from improved emergency responses. For example, during recent floods in Southeast Asia, predictive AI-GIS models helped authorities evacuate vulnerable populations, showcasing the technology’s ability to directly influence lives.

    Future Horizons
    By 2025, AI algorithms are expected to achieve 98% accuracy in land-use classification. Additionally, advancements in deep learning architectures are set to enhance satellite image resolution from 10 meters to 1 meter by 2030. These improvements will revolutionize environmental monitoring and urban planning, offering new possibilities for understanding and managing our changing planet.

    Furthermore, the technology’s potential to aid sustainable development cannot be overstated. Future systems are expected to boost biodiversity mapping accuracy by up to 40% and identify critical habitats for endangered species. By aligning AI-GIS innovations with global sustainability goals, these technologies can drive significant progress in preserving ecosystems and mitigating climate change.

    Bridging Technology and Accessibility
    While the technological advancements are impressive, making this innovation accessible to a broader audience is crucial. Simplified interfaces and educational initiatives can empower non-experts—such as community planners and environmentalists—to leverage these tools effectively. Incorporating visuals like maps, graphs, and satellite imagery comparisons can also enhance understanding and engagement for diverse audiences.

    In conclusion, Arun Kumar Epuri’s research highlights the profound impact of AI-GIS integration, from urban optimization to environmental conservation. By embracing these technologies, we can address pressing global challenges with precision and efficiency. As AI-GIS systems continue to evolve, they promise a future where technology not only transforms our understanding of geography but also empowers humanity to make informed decisions for a sustainable world.

  • Telecom Security: The Rising Stakes of Digital Infrastructure Protection

    Anirudha Shekhar Karandikar

    A comprehensive research paper by Anirudha Shekhar Karandikar, a cybersecurity expert from a Fortune 500 company, reveals the critical challenges and innovations in protecting telecommunications infrastructure. The study provides detailed insights into the evolving landscape of telecom security in our increasingly connected world.

    The Digital Explosion

    The telecommunications boom is transforming global connectivity. 5G technology serves as the primary catalyst, revolutionizing data transmission speeds and enabling new applications in IoT, autonomous vehicles, and smart cities. The projected growth to $1.8 trillion reflects increasing demand for high-speed internet, mobile services, and cloud computing. This rapid expansion is particularly evident in emerging markets, where mobile penetration is accelerating. The staggering data transmission rate of 150,700 gigabytes per second demonstrates our increasingly connected world and hints at future infrastructure challenges as demand continues to surge.

    Innovation in Threat Detection

    Modern telecom security is being revolutionized by artificial intelligence and machine learning algorithms. These systems can now process up to 100 Tbps of traffic and reduce attack surfaces by 95%. Advanced AI-driven traffic analysis can identify and mitigate 99.9% of DDoS attacks within 10 seconds of onset, representing a significant leap in protection capabilities.

    Smart Defense Against Insider Threats

    The industry has developed sophisticated behavioral analytics systems that can detect anomalous activities with 96% accuracy. Role-based access control systems have proven highly effective, reducing unauthorized access attempts by 85%. Regular security awareness training programs have shown remarkable success, cutting insider-related incidents by up to 70%.

    Data Protection Breakthrough

    New encryption technologies are transforming data security in the telecom sector. The implementation of AES-256 encryption for stored data and TLS 1.3 for data in transit has reduced unauthorized access risks by 92%. Additionally, innovative tokenization and data masking techniques have demonstrated the ability to reduce sensitive information exposure by up to 98%.

    Infrastructure Resilience

    Micro-segmentation has emerged as a powerful defense mechanism, capable of reducing the impact of DDoS attacks by up to 60%. This technology, combined with AI-driven threat detection, has significantly enhanced the industry’s ability to protect critical infrastructure and maintain service continuity during cyber attacks.

    Financial Impact and Innovation

    The financial stakes of telecom security have never been higher, with the average cost of a data breach reaching $4.54 million in 2023. This has driven innovation in protection mechanisms, particularly in the realm of artificial intelligence and machine learning. These technologies have proven crucial in detecting and preventing attacks before they can cause significant damage.

    The Future Outlook

    The telecommunications industry continues to evolve its security measures to match the sophistication of cyber threats. Advanced security measures have become essential as the industry manages data for over 8.6 billion mobile connections, with each user generating approximately 1.5 GB of data daily. The implementation of new security protocols has helped address growing privacy concerns and maintain user trust in digital communications.

    Critical Infrastructure Protection

    The sector faces increasing challenges from cybercriminals, with an average of 1,483 cyberattacks per week, representing a 41% increase from the previous year. The stakes are particularly high for critical infrastructure, as successful breaches can result in an average downtime of 6.5 hours per incident, potentially affecting millions of citizens.

    In his concluding remarks, Anirudha Shekhar Karandikar emphasizes that the future of secure digital communication depends on the industry’s ability to stay ahead of evolving threats while maintaining the delicate balance between innovation and security. As telecommunications continue to underpin critical services such as military communications, emergency response systems, and financial transactions, the importance of robust cybersecurity measures becomes increasingly vital for maintaining the integrity of our interconnected world.

  • UiPath positioned as the highest-designated leader in the Everest Group intelligent automation platforms PEAK Matrix Assessment 2024  – CRN

    UiPath positioned as the highest-designated leader in the Everest Group intelligent automation platforms PEAK Matrix Assessment 2024  – CRN

    UiPath announced that it has been positioned the highest in the Leader category in the inaugural Everest Group Intelligent Automation Platforms PEAK Matrix Assessment 2024.

    UiPath enables businesses to understand, optimise, and automate complex processes end-to-end, unlocking new levels of growth, efficiency, and innovation at lower cost and less risk. It combines leading UI and API-based automation with state-of-the-art AI for tasks like intelligent document processing (IDP), process discovery, and orchestration. The platform offers many features, including ease of integration with other ecosystems, access control, and enterprise-grade security and governance. The UiPath Platform is also accelerating a shift toward a new era of automation—agentic automation—by combining AI, automation, and orchestration, which gives agents the power to plan, work, and make decisions with minimal human oversight. The combination of robots and agents extends the scope and impact of automation. Agents can complete critical business processes and tasks that were not previously possible to automate due to their ability to act independently and make dynamic decisions.

     “UiPath has been positioned the highest in the Leader category due to its strong vision, continuous investments in product innovation and capability expansion, and increased market share,” said Amardeep Modi, Vice President at Everest Group. “UiPath has seen strong YoY growth, focus on customer success and enablement, and continuous investments in M&As and strategic alliances for enabling a holistic intelligent automation solution, are some of the key factors that contributed to its position.”

     “Guided by our vision to become the leading platform for agentic automation, UiPath is continuing to deliver transformational outcomes and drive innovation for our customers by helping them solve their most complex workflows and brand-new scenarios.” said Graham Sheldon, Chief Product Officer at UiPath. “I believe we earned our Leader position in the Everest Group Intelligent Automation Platforms PEAK Matrix Assessment 2024 because UiPath is best positioned to drive this transformation by providing the flexibility, scalability, orchestration, and trust to support the agentic automation of end-to-end workflows”

    Recent UiPath Platform capabilities include:

    • Agent builder: in private preview, Agent Builder allows users to build and customise agents, either from scratch or a prebuilt template in the UiPath Agent Catalog, that work in collaboration with robots and humans.
    • Autopilot for everyone: a cross-platform, conversational agent that helps employees enhance their productivity through customisable prompts, vast automation libraries, and leverages specialised AI models for specific tasks such as document processing and semantic copy-paste.
    • Autopilot for Testers: accelerates every aspect of software testing by leveraging GenAI to refine and improve requirements, generate step-by-step tests from those requirements, and uses those tests to create coded automations.
    • Autopilot for Developers: uses the power of GenAI and NLP in UiPath Studio to create workflows, generate expressions, and help build automations.
    • Autopilot for Apps: allows users to quickly and easily build forms through a simple natural language text prompt, a PDF, or an image.
    • AI Trust Layer: enables the governance of GenAI features and agents across the UiPath platform, providing comprehensive management, reporting, and controls.
    • Context Grounding: a feature within the UiPath AI Trust Layer that enables customers to query and interact with business-specific data, grounding all GenAI prompts with the most relevant information to improve the accuracy and reliability of GenAI predictions.
    • UiPath DocPath and CommPath LLMs: provide improved data extraction by enabling out-of-the-box processing of any document or message, with increased accuracy, speed

    Everest Group Intelligent Automation Platforms PEAK Matrix Assessment 2024 is an industry assessment providing analysis and insights on intelligent automation platform vendors and products to assist enterprises in their selection processes. These findings—which are based on an evaluation of vendors’ impact on the market, overarching vision, and product capabilities and support, innovation, and significant performance improvement—are seen as benchmarks in standards and quality for the industry. As part of the evaluations, vendors are classified into Leaders, Major Contenders, and Aspirants, based on key dimensions.

  • OnePlus 13 series, new Buds Pro 3 variant launching on January 7; new info emerges

    OnePlus 13 series, new Buds Pro 3 variant launching on January 7; here's what we know

    OnePlus 13 series, new Buds Pro 3 variant launching on January 7; here’s what we knowOnePlus

    OnePlus is all set to launch its new flagship smartphones, the OnePlus 13 series, and a new variant of its flagship earbuds, OnePlus Buds Pro 3, on January 7. This announcement comes as the company celebrates its 11th anniversary. OnePlus 13 series is expected to feature a slim design, an elegant camera layout following the golden ratio, and three stunning new colourways: Black Eclipse, Arctic Dawn, and Midnight Ocean.

    OnePlus 13 Series

    The Midnight Ocean variant is going to be the first phone to feature micro-fiber vegan leather, offering a luxurious hand feel while providing desirable resistance to corrosion and scratches. The Arctic Dawn colourway introduces an industry-first surface-based glass coating, for a comfortable, silky smooth touch and a fingerprint-resistant surface.

    OnePlus 13 series is going to be powered by the newly-released OxygenOS 15, known for its advanced AI features designed to deliver a lighter, smarter, and smoother experience. These AI enhancements are applied across key areas of the devices, simplifying daily interactions, boosting productivity.

    OnePlus 13 launch confirmed; full design revealed ahead of January release

    OnePlus 13 launch confirmed; full design revealed ahead of January releaseOnePlus

    AI and OnePlus Buds Pro 3

    Key highlights include Intelligent Search, letting you search across your local files using natural prompts, so that you don’t have to open the file one by one, or read a long file yourself, and AI-powered photography tools, enhancing everyday tasks.

    The OnePlus Buds Pro 3 will also come in an elegant Sapphire Blue colorway, complementing the OnePlus 13 Midnight Ocean. The Buds Pro 3 will introduce AI Translation in collaboration with the OnePlus 13 Series, offering seamless convenience for everyday communication and office tasks.

    As the OnePlus 13 series launch approaches, it also marks a significant milestone for OnePlus—its 11th anniversary. This anniversary celebrates the Never Settle spirit that has defined the brand since its inception and its strong community.