Telangana: Woxsen University, IBM India sign MoU across business & technology disciplines
Hyderabad, June 5 (UNI) Woxsen University has signed a strategic memorandum of understanding (MoU) with IBM India Private Limited, forming an academic-industry partnership aimed at technology education across business and technology disciplines.
The five-year collaboration will enhance curriculum, foster hands-on industry training, and offer globally recognized IBM certifications, Hyderabad based University said in a release here on Thursday.
The collaboration spans Woxsen's School of Business and School of Technology, directly benefiting students enrolled in MBA (Business Analytics) and BBA (Data Science & Artificial Intelligence), while extending its impact to technology students across the university. Students from both schools will gain exposure to IBM's enterprise tools used by Fortune 500 companies.
Dr Raul Villamarin Rodriguez, Vice President of Woxsen University, said, 'Our partnership with IBM is not an add-on, it is a structural shift in how we envision higher education. By embedding enterprise-grade tools and certifications into the DNA of our curriculum, we are placing Woxsen students on the same technological footing as professionals in Fortune 500 companies. This alliance breaks down the traditional silos between business and technology education, enabling a business analyst to speak the language of AI and a data scientist to understand market strategy. This collaboration ensures our graduates are ready from day one and are equipped to lead with technological fluency, strategic sharpness and global agility.'
A key highlight of the collaboration is access to IBM's full technology ecosystem, including artificial intelligence, blockchain, and advanced analytics, which are complemented by globally recognized certifications.
Subject matter experts from IBM will co-deliver modules with Woxsen faculty, incorporating real-world business scenarios and professional-grade platforms into academic instruction.
The partnership will also provide students with opportunities for internships and placements through IBM's extensive global network, with many students expected to secure pre-placement offers through project-based learning and mentorship during their academic journey.
Dr Hemachandran, Vice Dean of School of Business at Woxsen University, noted, 'The initiative addresses a crucial gap in higher education by bridging academic learning with evolving industry requirements. With IBM's active role in curriculum design and delivery, Woxsen students will gain firsthand exposure to industry tools, frameworks, and methodologies, ensuring job readiness from the day they graduate."
UNI KNR SS
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Hindustan Times
7 hours ago
- Hindustan Times
Why Indian MSMEs must prioritise digital maturity for growth
India's long-term economic vision rests on sustaining a high-growth momentum. A World Bank analysis indicates that India's economy must expand at an average annual rate of 7.8% over the next two decades to achieve high-income status by 2047. The fulcrum of this growth is its 63 million micro, small, and medium enterprises (MSMEs), which make up nearly 30% of GDP and drive 50% of exports. Yet, their potential remains underutilised. The sector remains bifurcated between those leveraging digital infrastructure to scale and compete globally and those falling behind in an increasingly tech-driven marketplace. Digital growth (Representational image) Only 12% of MSMEs use digital tools for strategic decision-making, while most face capital shortages, policy unawareness, and skill gaps. This directly impacts India's growth prospects as these firms operate at lower productivity, struggle with financing, and remain locked out of high-margin, global value chains. While in clear contrast, firms that have embraced digital transformation report sales growth of up to 80%, productivity gains of 40% and greater resilience against economic downturns. The question thus arises: how can India bridge the digital divide for its MSMEs as they seek to integrate into global markets? Globally industrialised economies are putting a pertinent focus on their MSMEs to go digital; Singapore's Productivity Solutions Grant (PSG) covers up to 50% of digital adoption costs for SMEs. Similarly, its SMEs Go Digital initiative offers subsidised access to Artificial Intelligence (AI)-driven tools and training. South Korea raised research and development (R&D) support for strategic technologies from 38% to 50%. Meanwhile, China has aggressively digitised its SME sector through its e-commerce policies, expanding global trade among SMEs by 68%. These examples underscore how digitisation enhances operational scale, cross-border competitiveness, and long-term cost-efficiency. In India, digitally mature MSMEs report a 65% increase in turnover, with 54% seeing higher profits. A Google-KPMG study shows digitally enabled businesses grow at twice the rate of offline firms. More importantly, digitisation reduces overheads, optimises inventory and logistics, improves visibility into customer data, and shortens sales cycles—driving both revenue and resilience. Digital platforms facilitate access to credit, and fintech-backed loans help MSMEs with working capital. Yet, despite these demonstrable benefits, only 57% of small businesses view AI as an opportunity, and fewer have the skills to implement it effectively. Digital platforms reduce paperwork, lower credit processing time, and help MSMEs comply with tax and regulatory norms. Despite the clear value in cost savings, faster turnaround, improved compliance, and expanded customer outreach, structural barriers persist. Cost remains the most cited deterrent to digital adoption, as 30% of MSMEs report high infrastructure costs as a limiting factor, while another 36% cite resistance to adopting new technology. The larger issue is workforce inertia—India's MSME sector has a digital skills deficit, making the transition to technology-driven operations slower. A study by NASSCOM and Meta shows that 65% MSMEs don't adopt technology due to a lack of skills and limited awareness about available tools and resources and an absence of structured support systems that could mentor them. Cybersecurity risks affect 40% of MSMEs, exposing them to fraud and financial threats. Meanwhile, policy awareness remains low—despite multiple government-led digitisation incentives and support. The result is a sector struggling to keep pace in an economy that is increasingly dictated by digital efficiencies. The structural shift required to bridge India's digital divide will demand coordinated intervention. India must implement targeted credit instruments that focus on digital upgradation for these MSMEs and reduce their technological costs, the government is already working towards it with TEAM (Trade Enablement & Marketing Scheme) and Technology Upgradation Schemes. However, to bridge the skill gaps the government should leverage their partnerships with private firms to provide structured training and hands-on tech support. Further the government can absorb ex-practitioners and industry experts in their business facilitation hubs, where MSMEs can receive customized, sector-specific guidance from former entrepreneurs, technology specialists, and financial advisors. Cybersecurity frameworks and awareness campaigns around existing digitalisation incentives must be amplified to bridge the policy communication gap. India's economic future is inextricably tied to the digital evolution of its MSME sector. Those embracing digital transformation will lead India's next wave of economic expansion. The need for proactive, policy-driven intervention has never been more urgent. This article is authored by Anup Wadhawan, former commerce secretary, Government of India and Arvind Singh, founder & chief executive officer, Quest OntheFRONTIER.
Time of India
8 hours ago
- 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
a day ago
- 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.
