Latest news with #MachineLearning
Time of India
3 hours ago
- Business
- Time of India
Sebi mulls guiding principle for responsible usage of AI, ML in securities markets
Sebi on Friday proposed guiding principles for responsible usage of Artificial Intelligence (AI) and Machine Learning (ML) applications in securities markets to safeguard investors and market integrity. Also, the regulator has proposed that a "regulatory lite" framework may be adopted for usage of AI/ML in the securities market for any purpose other than for business operations that may directly impact their customers. The proposed "guiding principles are intended to optimise benefits and minimise potential risks associated with integration of AI/ML-based applications in securities markets to safeguard investor protection , market integrity, and financial stability," Sebi said in its consultation paper. At present, AI/ML is being used by market participants mainly for advisory and support services, risk management, client identification and monitoring, surveillance, pattern recognition, internal compliance purposes and cyber security. "While AI/ML has the potential to improve productivity, efficiency and outcome, it is also important to manage these systems responsibly as their usage creates or amplifies certain risks which could have an impact on the efficiency of financial markets and may result in adverse impact to investors," Sebi said. Accordingly, Sebi proposed high-level principles to provide guidance to the market participants for having reasonable procedures and control systems in place for supervision and governance of usage of AI/ML applications or tools. The proposed guiding principles were suggested by a Sebi-constituted working group after studying the existing AI/ML guidelines in India as well as globally. As a part of the proposal, the working group suggested that market participants using AI/ML models should have an internal team with adequate skills and experience to monitor the performance, efficacy and security of the algorithms deployed throughout their lifecycle, as well as maintain auditability and explain interpretability of such models. Furthermore, the team should establish procedures for exception and error handling related to AI/ML-based systems. It should also establish fallback plans in the event an AI-based application fails due to technical issues or an unexpected disruption to ensure that the relevant function is carried out through an alternative process. It has been proposed that market participants using AI/ML models for business operations -- such as selection of trading algorithms, asset management or portfolio management and advisory and support services -- that may directly impact their customers should disclose the same to the respective customers to foster transparency and accountability. The market participants should adequately test and monitor the AI/ML-based models to validate their results on a continuous basis. Further, it has been proposed that the testing should be conducted in an environment that is segregated from the live environment prior to deployment to ensure that AI/ML models behave as expected in stressed and unstressed market conditions. Also, market participants should maintain proper documentation of all the models and store input and output data for at least 5 years. "Since the AI/ML systems are dependent on collection and processing of data, market participants should have a clear policy for data security, cyber security and data privacy for the usage of AI/ML based models," Sebi said, adding that information about technical glitches, data breaches shall be communicated to it and other relevant authorities. The Securities and Exchange Board of India (Sebi) has sought public comments till July 11 on the proposals.
The Wire
21 hours ago
- Business
- The Wire
Algorithmic Trading's Next Frontier: Education and Responsible Adoption Amidst Regulatory Shifts
Algorithmic trading is rapidly reshaping global capital markets, transitioning from an institutional niche to a widespread force. Automated trading strategies now account for over half the volumes on major exchanges, with increasing accessibility for individual investors and financial professionals. This evolution, however, highlights a critical need for enhanced understanding, robust education, and clear regulatory frameworks to ensure market efficiency and investor protection. The momentum driving this shift is significant and quantifiable. The global algorithmic trading market was valued at an estimated USD 21.06 billion in 2024 and is projected to surge to USD 42.99 billion by 2030, reflecting a substantial 12.9% Compound Annual Growth Rate (CAGR) from 2025 to 2030. This impressive growth, according to Grand View Research, is largely propelled by the increasing integration of Machine Learning (ML) and Artificial Intelligence (AI) technologies into algorithmic trading solutions. As the market expands and technology advances, regulatory bodies globally are responding with clearer guidelines. Recent frameworks, such as those introduced by India's capital market regulator (SEBI) effective August 1, 2025, signal a universal commitment to formalizing algorithmic trading, particularly for retail participants. These initiatives aim to improve compliance and foster responsible adoption, thereby creating a more robust and secure ecosystem for automated strategies worldwide. "The advent of cloud infrastructure, coupled with the rise of AI, is generating immense interest in algorithmic trading," observes Nitesh Khandelwal, Co-founder and Director of QuantInsti. "While the evolving regulatory landscape aims to build a strong foundation for the adoption of technology and quantitative methods, there remains a critical need to bridge education gaps and provide access to the right tools and platforms for both professionals and new entrants." The increasing sophistication of financial technology, coupled with market growth, means that continuous skill development is no longer optional for market participants. Mastering the development, testing, and compliant deployment of algorithmic strategies is fast becoming an essential competency in modern finance. In direct response to this growing industry demand, organizations are stepping up to provide critical educational resources. For instance, QuantInsti is hosting a complimentary online session, "Build Your Quant Portfolio: First Steps into Algorithmic Trading," on Tuesday, June 24, 2025, at 8:30 AM EST (5:30 AM PST / 6:00 PM IST). This webinar will feature expert perspectives from seasoned practitioners including Jay Parmar (Quantitative Researcher, iRage), Mrinall Mahajan (Vice President at a leading global asset management firm), Tomás V. García-Purriños (Senior Asset Allocation Strategist at a prominent global bank's asset management division), and Rohan Mathews (Global Business Head, QuantInsti). The session aims to offer practical insights into developing data-driven trading strategies, understanding the role of machine learning in financial models, and navigating real-world career transitions within quantitative finance. This initiative reflects a broader industry movement to democratize access to advanced financial knowledge and cultivate a skilled workforce capable of navigating the complexities of automated markets. As algorithmic trading continues to reshape how capital markets operate, driven by significant market expansion and technological innovation, the emphasis on comprehensive education and adherence to evolving regulatory guidelines will be paramount for sustained growth and long-term industry stability. About QuantInsti: QuantInsti is a pioneering global algorithmic trading research and education institute. It focuses on empowering financial professionals and aspiring quants worldwide through educational programs and technology solutions, aiming to contribute to the global financial markets' growth and inclusion. (Disclaimer: The above press release comes to you under an arrangement with NRDPL and PTI takes no editorial responsibility for the same.). This is an auto-published feed from PTI with no editorial input from The Wire.
Yahoo
2 days ago
- Business
- Yahoo
Risk Analytics Market is Poised to Hit $91.33 Billion, Globally, by 2030 Amid Rising Threat Complexity - Exclusive Report by The Research Insights
CHICAGO, June 19, 2025 /PRNewswire/ -- The Risk Analytics Market is projected to be valued at USD 44.55 billion in 2024 and reach USD 91.33 billion by 2030, growing at a CAGR of 12.7% according to a new report by The Research Insights. This substantial expansion is driven by the rising complexity of emerging risks and the widespread adoption of advanced technology solutions. Organizations are planning to boost their spending on governance, risk management, and compliance (GRC) and environmental, social, and governance (ESG) software by over 35% in the next two years, indicating a stronger emphasis on enhancing risk management frameworks. Leading companies identify the development of a digital risk strategy as a top priority for the coming years. The increasing use of artificial intelligence (AI) and machine learning in risk assessment, along with the growth of cloud-based analytics tools, is changing how organizations identify and manage risks. As a result, the demand for digital risk strategies and risk advisory services is on the rise, bolstered by favourable regulations and government-supported digital-first initiatives. The report runs an in-depth analysis of market trends, key players, and future opportunities. In general, the Risk Analytics Market growth of 12.7% comprises a vast array of Component, Risk Type Application, Deployment Type, Industry Vertical, and Geography which are expected to register strength during the coming years. For More Information and To Stay Updated on The Latest Developments in The Global Risk Analytics Market, Download the Sample Pages: Market Overview and Growth Trajectory: Risk Analytics Market Growth: According to an exhaustive report by The Research Insights, the Risk Analytics Market is experiencing significant growth. The Global Risk Analytics Market experiences strong growth from the joint effects of unique and emerging factors that redefine risk management methods for multiple industries. The widespread implementation of artificial intelligence and machine learning technologies in predictive analytics stands as a primary factor for enabling real-time risk detection systems and more flexible decision-making models. The swift digital transformation in financial services, healthcare, and energy sectors has amplified requirements for advanced risk analytics solutions to address cyber threats and operational vulnerabilities while meeting regulatory standards. The increase in geopolitical tensions along with climate-related risks and supply chain disruptions led organizations to embrace comprehensive scenario-based tools for risk assessment. The combination of big data with cloud-native analytics platforms promotes the development of risk analysis models that are both scalable and flexible while reducing operational costs. The expanding focus on ESG metrics represents a developing trend that pushes firms to include non-financial risk elements in their analytics structures to comply with investor demands and regulatory standards. These elements work together to create innovation that pushes the global risk analytics landscape toward rapid development. Increasing Complexity of Regulatory Requirements:The global risk analytics market expands primarily due to the dynamic changes in regulatory requirements which become more stringent over time. The U.S. Securities and Exchange Commission (SEC), European Banking Authority (EBA), Basel Committee and other global financial regulatory authorities implement strong compliance standards which force organizations to improve their risk management structures. Financial institutions and enterprises must fulfill robust risk assessment protocols for credit, market, operational, and liquidity risks under regulatory mandates such as Basel III, Solvency II, GDPR, and Dodd-Frank. Organizations that encounter penalties for failing to comply with regulations now focus their investments on advanced analytics technologies to create transparent systems while automating reports and keeping audit trails. Risk analytics tools help businesses pool and process data for live compliance tracking thus lessening manual supervision workloads and lowering the chance of regulatory violations. For Detailed Market Insights, Visit: Surging Cybersecurity Threats and Operational Risks:The current digital world exposes businesses to extreme levels of cyber threats along with data breaches and operational vulnerabilities. The necessity for proactive risk identification methods and mitigation strategies has become clear through recent major attacks on critical infrastructure and financial systems. The quickening pace of digital transformation across industries leads to a greater complexity in operational risk which includes both system failures and vendor risks together with internal fraudulent activities. Modern risk analytics tools use artificial intelligence (AI) and machine learning (ML) together with big data analysis to track risk indicators and identify anomalies while generating simulations of possible disruptions as they happen. Enterprises can act strategically with speed once predictive analytics reveal cybersecurity threats before they become severe. The changing threat environment requires organizations to move past traditional defensive methods and adopt flexible risk management solutions that utilize analytics to quickly respond to new challenges. Growing Adoption of Data-Driven Decision-Making Across Industries:Another key driving force behind the global risk analytics market expansion is the transition to data-focused business models. Multiple sectors such as banking and insurance as well as healthcare, energy and retail sectors see the importance of using large datasets to detect patterns and predict trends for better decision-making. By utilizing risk analytics enterprises can detect unseen risks measure possible financial consequences and establish mitigation plans according to data supported conclusions. The combination of risk analytics with enterprise resource planning (ERP), customer relationship management (CRM), and various operational systems gives organizations a comprehensive understanding of their enterprise risk. The growing integration between technology and business intelligence systems leads to increased demand for cloud-based analytics platforms with scalable solutions offering real-time dashboards and advanced visualization tools alongside scenario modelling features. Businesses are now using risk management as a strategic asset instead of treating it as just a compliance requirement. Stay Updated on The Latest Risk Analytics Market Trends: Geographical Insights: The market leadership of North America has been established over time with its share reaching 39.0% in 2023. During the forecast period the region is predicted to maintain its growth path with a CAGR of 13.0% which will be primarily supported by increasing industrial safety demands and rising recognition for comprehensive risk management solutions. The current global financial environment poses numerous threats to both operational stability and financial health for businesses. During the forecast period European risk analytics market will experience substantial expansion as various non-financial industries including healthcare, energy, and transportation embrace risk analytics solutions. The adoption of analytics by organizations across various industries to manage resources and improve patient outcomes and safety while ensuring compliance drives the growing demand for risk analytics solutions throughout multiple sectors. Global Risk Analytics Market Segmentation and Geographical Insights: Based on Component, the risk analytics market is divided into, Software and Solutions. The software segment has emerged as the leading contributor to market revenue, accounting for 66.3% in 2023, and is poised for accelerated growth over the forecast period. Based on Application, the risk analytics market is divided into, Operational risk, financial risk, Compliance risk, Strategic risk, and Others. The operational risk segment dominated revenue, a trend that underscores the critical role it plays in a company's overall performance. Based on Deployment Type, the risk analytics market is divided into, On-premise, and Cloud. The on-premises segment dominated the market share, as it provides organizations with tailored risk analytics solutions that align with their unique business needs and risk management approaches. Based on Industry Vertical, the risk analytics market is divided into, BFSI, Retail, Manufacturing, Telecom & IT, Energy and utilities, Healthcare, and Other. The BFSI segment dominated revenue share, and it is expected to experience the most rapid growth during the forecast period. The Risk Analytics Market is segmented into five major regions: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Purchase Premium Copy of Global Risk Analytics Market Size and Growth Report (2024-2030) at: Key Players and Competitive Landscape: The Global Risk Analytics Market is characterized by the presence of several major players, including: Accenture ACL Services Ltd. AxiomSL dba Galvanize Eurorisk Systems Ltd Fidelity National Information Services Gurucul IBM Moody's Analytics OneSpan Oracle Corporation Risk Edge Solutions SAS Institute Verisk Analytics These companies are adopting strategies such as new product launches, joint ventures, and geographical expansion to maintain their competitive edge in the market. Global Risk Analytics Market Recent Developments and Innovations: In March 2025: As part of a strategic alliance, Deloitte joined forces with Mercans to create and execute a leading Quality Management and Risk Framework. Deloitte delivers specialized expertise to improve internal controls and governance while ensuring quality assurance. Mercans now has enhanced capabilities to deliver secure and regulatory-compliant solutions that stay ahead of future challenges which demonstrates its dedication to operational excellence and regulatory compliance. In January 2025: IBM and Telefónica Tech have announced their joint development agreement for security solutions designed to tackle challenges from future quantum computing advancements. Telefónica Tech will adopt IBM's quantum-safe technologies to enhance risk assessments and enable organizations to identify and resolve cryptographic vulnerabilities. In January 2025: The partnership between SAP and SNP SE grew stronger in January 2025 to speed up customer transitions to RISE with SAP through efficient and secure migration strategies that minimize downtime. Their current explorations include developing data management collaboration for SAP S/4HANA Public Cloud. In January 2025: Moody's credit data and analytics became part of Aon's insurance and risk management services through a partnership between the two companies. Through this partnership Aon's clients receive enhanced understandings of creditworthiness and potential exposure risks. The partnership first started in Europe before it targeted worldwide expansion. For Region-Specific Market Data, Check Out Brief Sample Pages: Frequently Asked Questions (FAQs): What is the forecasted market size of the Risk Analytics Market in 2030?The forecasted market size of the Risk Analytics Market is USD 91.33 billion in 2030. Who are the leading players in the Risk Analytics Market?The key players in the Risk Analytics Market include, Accenture; ACL Services Ltd.; AxiomSL; dba Galvanize; Eurorisk Systems Ltd; Fidelity National Information Services; Gurucul; IBM; Moody's Analytics; OneSpan; Oracle Corporation; Risk Edge Solutions; SAS Institute; and Verisk Analytics. What are the major drivers for the Risk Analytics Market? The global risk analytics market is expected to see substantial expansion because of changing regulatory standards along with cybersecurity challenges and the growing complexity of business processes in today's data-focused world. Which is the largest region during the forecasted period in the Risk Analytics Market?The market leadership of North America has been established over time with its share reaching 39.0% in 2023. During the forecast period the region is predicted to maintain its growth path with a CAGR of 13.0% which will be primarily supported by increasing industrial safety demands and rising recognition for comprehensive risk management solutions. Which is the largest segment, by component, during the forecasted period in the Risk Analytics Market?The software segment has emerged as the leading contributor to market revenue, accounting for 66.3% in 2023, and is poised for accelerated growth over the forecast period. Conclusion: The ongoing development of analytics technologies alongside artificial intelligence and big data platforms has transformed the risk analytics market by helping organizations take early action against potential threats through identification and assessment. The combination of escalating cyber threats along with regulatory obligations and market fluctuations drives growing demand for smart risk management solutions across financial services, healthcare organizations, insurance firms, and manufacturing industries. Modern enterprises implement risk analytics platforms as core components of their strategies because they deliver real-time insights along with predictive modeling capabilities and automated compliance monitoring. The combination of cloud infrastructure with IoT data streams improves scalability and responsiveness and along with user-friendly dashboards aids quicker decision-making processes. Customizable and AI-driven analytics tools are essential for businesses facing complex global risks to build resilience and regulatory compliance while enabling strategic decisions during digital transformation. Need A Diverse Region or Sector? Customize Research to Suit Your Requirement: The report from The Research Insights, therefore, provides several stakeholders— financial institutions, regulatory bodies, government agencies, insurance companies, and risk management consultants—with valuable insights into how to successfully navigate this evolving market landscape and unlock new opportunities. With projected growth to US$ 91.33 billion by 2030, the Global Risk Analytics Market represents a significant opportunity for fintech startups, AI and data analytics firms, cybersecurity companies, and cloud service providers, can position themselves for success in this dynamic and evolving market landscape. Check out more related studies published by The Research Insights: Data Analytics Outsourcing Market: The Global Data Analytics Outsourcing Market is expected to reach at USD 66.68 billion by 2030, according to a new report by The Research Insights. It is projected to expand at a CAGR of 32.1% during the forecast period, driven by increasing demands for agile and cost-effective solutions. Data And Analytics Software Market: The Global Data and Analytics Software Market is expected to reach at USD 345.32 billion by 2030, according to a new report by The Research Insights. It is projected to expand at a CAGR of 13.6% during the forecast period, driven by increasing demands for agile and cost-effective solutions. Browse More related reports on Technology Industry Market Reports – About Us: The Research Insights provides thoroughly conducted research which is backed up by real-time statistics and data. Our experts are eager to help you with any information required under the sun. The key to our success is keeping abreast with the markets, industries, and ever-changing consumer trends that matter. Our market research professionals have in-depth knowledge and expertise across various domains that includes IT and Telecom, Emerging Technologies, Consumer Offerings, Manufacturing and Others. We are committed to reviewing the scope and procedure of the research studies that you select and provide you with an accurate guidance in order to assist you in taking the correct business decisions. Contact Us:If you have any queries about this report or if you would like further information, please contact us: Contact Person: Kaushik RoyE-mail: sales@ +1-312-313-8080Blog: Press Release: Latest News: | Logo: View original content: SOURCE The Research Insights Sign in to access your portfolio
Yahoo
3 days ago
- Business
- Yahoo
QuantGate Systems Inc. Announces Memorandum of Understanding with YO Eleven Gaming Inc.
Toronto, Ontario and New York, New York--(Newsfile Corp. - June 18, 2025) - QuantGate Systems Inc. (OTCQB: QGSI) (the "QuantGate" or "Company"), an Artificial Intelligence ("AI"), Machine Learning ("ML") SaaS-based Fintech solutions company, is pleased to announce the signing of a Memorandum of Understanding (MOU) with YO Eleven Gaming Inc. ("YO Eleven"), a Vancouver-based gaming technology company, to enter into a definitive Asset Purchase Agreement for the sale of certain technology and patents held by QuantGate's Mobilotto Canadian subsidiary company. The MOU outlines a strategic transaction whereby QuantGate will transfer specific technology and patent assets to YO Eleven in exchange for 9,000,000 common shares of YO Eleven and a cash consideration of CAD $250,000 upon closing. Additionally, QuantGate will retain a 25% royalty interest on all gross revenues generated from the commercialization, licensing, or monetization of the transferred technology. To support QuantGate's equity position, the MOU includes a temporary anti-dilution clause, preserving QuantGate's 19% equity stake in YO Eleven (on a fully diluted basis) during an initial capital raise of up to CAD $500,000. This partnership aligns with QuantGate's mission to maximize shareholder value through strategic collaborations and innovative fintech solutions. The transaction is expected to close within 45 days, by July 25, 2025, subject to customary due diligence, board approvals, and any required regulatory approvals. "We are excited to partner with YO Eleven Gaming Inc. to advance the application of our technology in new markets," said Nikolas Perrault, Chairman of QuantGate Systems Inc. "This MOU represents a significant step in leveraging our intellectual property to create long-term value for our shareholders." Jake Kalpakian, President of YO Eleven Gaming Inc., added, "The acquisition of QuantGate's technology and patents will enhance our capabilities in the gaming technology sector. We look forward to integrating these assets to drive innovation and growth." Further details of the transaction will be shared as the definitive Asset Purchase Agreement is finalized and key milestones are achieved. About QuantGate Systems Systems Inc. (OTCQB: QGSI) ( is a publicly-traded fintech company operating for over ten years, developing sophisticated Artificial Intelligence (AI), Machine Learning (ML), and proprietary big-data processing algorithms and analytics to deliver SaaS solutions and seamless API integration. The Opportunity Watchlist is a groundbreaking tool to deliver real-time market insights and data-driven predictions, providing users with a competitive edge through enhanced decision-making capabilities, optimizing real-time execution, and an overall improved trading experience. About YO Eleven Gaming Eleven Gaming Inc., based in Vancouver, British Columbia, is a technology company focused on advancing innovative solutions in the gaming industry. With a commitment to leveraging cutting-edge technology, YO Eleven aims to deliver transformative products and services to global markets. Contact Information:Jake H. KalpakianYO Eleven Gaming 575, 510 Burrard StreetVancouver, BC V6C 3A8E: info@ +1 (604) 681-0204 Contact Information:QuantGate Systems Inc.150 Bloor Street West, M103Toronto, ON, M5S 1M4E: info@ +1 (416) 479-0880 Forward-Looking Statements Disclaimer and Reader Advisory:All statements included in this press release that address activities, events, or developments that the Company expects, believes, or anticipates will or may occur in the future are forward-looking statements. These forward-looking statements involve numerous assumptions made by the Company based on its experience, perception of historical trends, current conditions, expected future developments, and other factors it believes are appropriate in the circumstances. In addition, these statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that the predictions, forecasts, projections, and other forward-looking statements will prove inaccurate, certain of which are beyond the Company's control. Readers should not place undue reliance on forward-looking statements. Except as required by law, the Company does not undertake to revise or update these forward-looking statements after the date hereof or revise them to reflect the occurrence of future unanticipated events. To view the source version of this press release, please visit Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Hans India
4 days ago
- Business
- Hans India
AI to be used for first time in mineral exploration in Rajasthan; initial reports in 45 days
In a significant move to modernise the state's mining sector, Rajasthan will, for the first time, use Artificial Intelligence (AI) and Machine Learning (ML) for mineral exploration. Initial preparations have started, officials told IANS and said that reports will have to be submitted in this context in around 45 days. This is the first and innovative initiative of AI-ML in Rajasthan, officials told IANS on Tuesday. Principal Secretary, Mines and Geology, T. Ravikant, announced that a pilot project will be launched in Bhilwara, Bharatpur, and select areas of Chittorgarh to identify potential zones of critical and strategic minerals using AI technologies. The project will be implemented through the Rajasthan State Mineral Exploration Trust (RSMET) in collaboration with a private exploration agency notified by the Central Government. Rajasthan is already a leader in the auction of major minerals and has witnessed a substantial increase in mining revenue. Of the 82 types of minerals found in the state, 57 are currently being mined. With this initiative, the government aims to accelerate the exploration of untapped and valuable mineral reserves hidden beneath the state's surface. Ravikant explained that AI will help pinpoint high-potential mineral zones more efficiently than traditional methods, which are time-consuming and resource-intensive. 'The AI-based approach will save time, cost, and labour while increasing the scientific accuracy of mineral detection,' he said. The AI-based exploration will utilise data from various sources, including satellite imagery, ground penetration radar, and historical geological surveys from both central and state agencies. The Hyderabad-based NPEA Critical Mineral Tracker, a private firm working under the Central Government, will lead the pilot. This agency is already active in Maharashtra and Chhattisgarh and will now bring its expertise to Rajasthan. Once the AI analysis identifies promising areas, drilling will be conducted, followed by chemical analysis of core samples. Based on the findings, mineral blocks will be prepared for auction. Rajasthan has extensive limestone reserves and promising potential for critical and strategic minerals such as copper, base metals, and iron ore. Both the Union and state governments are placing special emphasis on identifying and mining these essential resources, which are key to national development and technological advancement. Director of Mines, Deepak Tanwar, stated, 'This is the first time AI is being employed for mineral exploration in Rajasthan. It's a transformative step that will bring speed, precision, and innovation to the sector.'
