Latest news with #Chandrashekar
India.com
3 days ago
- Business
- India.com
Reimagining Transaction Intelligence: How Chandrashekar Althati's Innovations Are Shaping Modern Data Platforms
Today's world is driven by digital transactions, organizations are under constant pressure to manage risk, understand customer behavior, and ensure compliance. Earlier, rule-based transaction monitoring systems fell short when faced with evolving patterns of fraud and increasingly complex regulatory demands. The need for intelligent, scalable, and real-time classification systems has never been greater. This is where Chandrashekar Althati's contributions to data architecture and machine learning step in. One such notable innovation is the U.S. patent US8965820B2, titled 'Multivariate Transaction Classification,' co-invented by Chandrashekar Althati during his tenure at SAP. This patent introduced a methodology to classify transactions using a multivariate approach powered by machine learning and an innovation that has since started the groundwork for scalable, real-time fraud detection, customer segmentation, and compliance monitoring. From Concept to Implementation: What Is This Patent? The core idea of the Multivariate Transaction Classification system is to analyze transactional data using multiple variables rather than relying on static rule sets. This helps businesses to adapt changing transaction behaviors, a critical feature in industries where fraudsters and compliance requirements keep changing. ' At SAP, our goal was to solve a problem that rule-based systems couldn't—how do we build a system that not only detects known fraud patterns but can also evolve with new ones?' said Chandrashekar Althati. 'Our approach used machine learning models to evaluate risk across dimensions like transaction value, time, location, and behavior anomalies.' The patent describes innovations like thresholding mechanisms, automated data processing pipelines, and adaptive learning models that change themselves over time. For SAP's enterprise customers, this resulted in not only improved fraud prevention but also enhanced decision-making and real-time business insights. Beyond SAP, the impact of this technology has repeated across sectors like financial services, e-commerce, healthcare, and even regulatory agencies now rely on similar approaches for intelligent transaction management. Deep Expertise Across Domains Chandrashekar Althati's trajectory since then has only reinforced his reputation as a leader in data architecture and applied AI. Currently serving as a Data Platform Architect at a leading health tech provider, he has been instrumental in designing real-time data processing solutions that support personalized patient care at scale. At a major healthcare analytics company (anonymized), Chandrashekar led the design of a fault-tolerant, cost-optimized Kubernetes infrastructure on AWS, powering hundreds of dynamic ETL workflows through Apache Airflow and container orchestration. His work with data scientists and engineers helps ML pipelines using tools like AWS SageMaker, Kubeflow, and Apache Spark, and enhance operational agility. ' We needed to streamline data movement while keeping the computer cost in check. Building production-ready, auto-scaled systems on Kubernetes helped us ingest and process data more efficiently and securely,' Chandrashekar shared. His leadership here involved not only architectural design but also hands-on implementation, security management, and cost optimization shows his end-to-end mastery of enterprise data systems. Earlier, during his time at Deloitte Consulting, Chandrashekar focused on AI-driven analytics and serverless architectures. He designed machine learning solutions to extract structured insights from unstructured web data and led projects that integrated AWS services through Lambda, Step Functions, and Redshift. His ability to integrate DevOps and MLOps practices made him a valuable contributor in cross-functional, globally distributed teams. Scholarly Contributions and Global Recognition A strong advocate for knowledge sharing, Chandrashekar Althati is also a published researcher whose work in AI, predictive analytics, and data platform optimization has been cited widely. His Google Scholar profile reflects over 100 citations and an h-index of 7 clear indicators of academic influence. In particular, his recent article 'Enhancing Data Integration and Management: The Role of AI and Machine Learning in Modern Data Platforms' (JAIGS, 2024) has received notable attention in the data science community. Collaborating with peers across North America and India, he has published on themes ranging from AI-driven analytics in annuity products to optimization techniques for storage-constrained systems. ' My research interests are often inspired by the challenges I see in real-world enterprise data systems. Publishing these findings allows us to raise the bar for the industry while encouraging interdisciplinary collaboration,' Chandrashekar noted. His scholarly presence is matched by active participation in academic and industry forums. Chandrashekar frequently contributes as a co-author with other noted professionals like Bhavani Krothapalli, Jegatheeswari Perumalsamy, and Manish Tomar. The Road Ahead: Scalable, Responsible AI Chandrashekar believes that future transaction analytics systems will integrate deeper layers of intelligence. ' We're moving toward architectures where deep learning, edge computing, and blockchain all converge. The goal is to provide decision-support systems that are transparent, compliant, and fast,' he explained. There's also a strong push toward responsible AI, something that aligns with his current work in regulated sectors like healthcare. His emphasis on governance, reproducibility, and real-time monitoring of AI pipelines reflects a mature and forward-looking understanding of enterprise needs. Chandrashekar is also exploring opportunities to extend his patented work into domains like decentralized finance and real-time patient health monitoring, where transaction-like events must be classified with high accuracy and low latency. Closing the Loop: From SAP Labs to Industry Standard The journey of the Multivariate Transaction Classification patent is a story of practical innovation. What began as a forward-looking idea at SAP Labs has evolved into an industry standard, echoed in modern data platforms around the world. Chandrashekar Althati's career—spanning healthcare, consulting, and enterprise software—illustrates how deep technical expertise, combined with a collaborative and inquisitive mindset, can drive lasting impact. Whether enabling scalable cloud-native systems or publishing influential research, Chandrashekar continues to influence how we build and trust intelligent systems. His contributions demonstrate that impactful technology starts with thoughtful design and a vision that bridges research with enterprise scale.
Time of India
09-07-2025
- Politics
- Time of India
Bharat Bandh today live updates: Public services likely to be hit as over 25 crore workers set to go on nationwide strike
07:24 (IST) Jul 09 Kerala BJP president Rajeev Chandrasekhar on Tuesday said it was "ironic" that the CPI (M) whose government had destroyed the "economy" of Kerala over the past nine years is lending support for a 'Bharat Bandh' organised by trade unions in the country. "It is ironic that a party that has been in government for nine years and has systematically destroyed the economy of today talking about having a strike and making the life of common people are today losing our talent, losing our youth. And because we are losing our youth, we are losing investments", Chandrashekar said. The BJP leader and former Union Minister stated that the CPI (M) is a "small political force" and is "limited" to Kerala. "It is not a nationwide strike. It is a strike, called by the CPI(M) and supported by the Congress. While the CPI(M) may think it represents the nation, it is an extremely small political force, limited to Kerala," Chandrashekar said. Meanwhile, the BJP leader said that Union Home Minister Amit Shah is set to visit Kerala on July 11 and participate in the inauguration ceremony of the new BJP office. The Union Minister will also kickstart NDA's campaign in the upcoming local body elections.
India Gazette
08-07-2025
- Politics
- India Gazette
"Party, which destroyed Kerala's economy..." Rajeev Chandrasekhar says CPI-M's support to 'Bharat Bandh' "ironic"
ANI 08 Jul 2025, 18:06 GMT+10 Thiruvananthapuram (Kerala) [India], July 8 (ANI): Kerala BJP president Rajeev Chandrasekhar on Tuesday said it was 'ironic' that the CPI (M) whose government had destroyed the 'economy' of Kerala over the past nine years is lending support for a 'Bharat Bandh' organised by trade unions in the country 'It is ironic that a party that has been in government for nine years and has systematically destroyed the economy of today talking about having a strike and making the life of common people are today losing our talent, losing our youth. And because we are losing our youth, we are losing investments', Chandrashekar said. The BJP leader and former Union Minister stated that the CPI (M) is a 'small political force' and is 'limited' to Kerala. 'It is not a nationwide strike. It is a strike, called by the CPI(M) and supported by the Congress. While the CPI(M) may think it represents the nation, it is an extremely small political force, limited to Kerala,' Chandrashekar said. Meanwhile, the BJP leader said that Union Home Minister Amit Shah is set to visit Kerala on July 11 and participate in the inauguration ceremony of the new BJP office. The Union Minister will also kickstart NDA's campaign in the upcoming local body elections. 'Union HM Amit Shah is arriving in Trivandrum on the 11th evening. He will participate in the inauguration of the state will essentially kick off our party's and NDA's campaign for the local body elections coming up in November 2025', Chandrasekhar said. (ANI)
Time of India
06-07-2025
- Business
- Time of India
Bengaluru's public sector undertaking contract workers to join nationwide protest on July 9
Bengaluru: Several public sector undertakings (PSUs) in Bengaluru could face staff shortages on July 9, as thousands of contract workers plan to join a nationwide protest against the Centre's new labour code. The protest was announced during a convention held at Gandhi Bhavan by the Govt and Public Sector Non-Permanent Workers Joint Forum (Bengaluru), with the participation of workers from HAL, BEML, BEL, DRDO, BWSSB, Karnataka Soaps and Detergents Limited, and others. Forum leaders said nearly 23,000 contract workers are affected in Bengaluru alone. Many have served over 15 years, yet remain on temporary rolls. They argue the new labour code weakens job security, eases hiring and firing, and restricts union rights. Their key demands include regularising Group C and D roles, revising the minimum wage to Rs 42,000, and removing the Rs 23,000 cap under the ESI Act. You Can Also Check: Bengaluru AQI | Weather in Bengaluru | Bank Holidays in Bengaluru | Public Holidays in Bengaluru Chandrashekar of the HAL Contract Workers Association said the govt avoids regularisation of jobs to cut costs, despite rising inflation. Women workers highlighted poor facilities, unsafe commutes, and a lack of workplace dignity. The rally will begin at Town Hall and culminate at Freedom Park, aiming to spotlight the worsening conditions of outsourced and temporary workers in PSUs and government offices.
The Hindu
28-06-2025
- Politics
- The Hindu
SHRC directs Karnataka govt. to hold a comprehensive survey of Devadasis in State
In a significant move, the State Human Rights Commission (SHRC) has directed the Karnataka government to hold a comprehensive survey of Devadasis in Karnataka to ascertain their exact number in the State, within the next four months. Earlier surveys While earlier surveys in 1993-1994 and 2007-2008 had put the number of Devadasis in Karnataka at 22,873 and 46,660 respectively, the commission has noted that there is a need to ascertain exact number of Devadasis in the State for issuing necessary recommendations, and take steps to eradicate the system completely. In its order dated June 23, the commission has said that the survey has to be conducted by the Women and Child Development Department to identify the number of Devadasis, and to submit district-wise report before October 24, 2025. 'The survey should also count their family members. The district level and state level survey committees should have representation of Devadasis and their families,' said R.V. Chandrashekar, a researcher at National Law School of India University (NLSIU), welcoming the decision. Families not covered He said that the previous two surveys had not covered the families, and they had also left out a large number of Devadasis. 'First survey considered only those born 10 years before 1982 and the second survey considered those born before 1982. There should be no condition on age limit in this survey. Devadasis under all age groups should be surveyed. We believe that many have been initiated as Devadasis even after its ban was implemented in 1982,' said Mr. Chandrashekar. He was the petitioner before the SHRC that had also taken up the Devadasi issue suo-motu. The Devadasi system in Karnataka has been prevalent historically, in which women were dedicated to temples mostly as musicians and dancers, but had turned exploitative over time. The erstwhile Maharajas of Mysore were among the earliest to ban the practice in 1907-1908, and the State government banned it in 1982 through the Karnataka Devadasis (Prohibition of Dedication) Act, 1982. Currently, Devadasis are found in 14 districts of Kittur Karnataka and Kalyana Karnataka regions, often living in poverty and facing stigma. According to Mr. Chandrashekar, the effort to uplift Devadasis should not have a piecemeal approach. 'A one-time comprehensive rehabilitation has the potential to eradicate the evil completely,' he argued. He said their study showed that between 1990 and 2024, about 24,284 Devadasi women had received benefits. 'Of the total 46,600 Devadasis identified in the 2007 survey, 22,376 Devadasis have not received any relief. There is no information on those who have died.'
