Jio Platforms Partners Confluent To Fuel GenAI Use Cases In India - Related to launches, capital, €50m, genai, partners
Harnessing cloud and AI to power a sustainable future

Data from a poll conducted by MIT Technology Review Insights in 2024 implies growing momentum for this dynamic duo: 38% of executives polled say that cloud and AI are key components of their enterprise’s sustainability initiatives, and another 35% say the combination is making a meaningful contribution to sustainability goals (see Figure 1).
This enthusiasm isn’t just theoretical, either. Consider that 45% of respondents identified energy consumption optimization as their most relevant use case for AI and cloud in sustainability initiatives. And organizations are backing these priorities with investment—more than 50% of companies represented in the poll plan to increase their spending on cloud and AI-focused sustainability initiatives by 25% or more over the next two years.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.
Microsoft’s February 2025 cumulative improvement brings much-needed relief to Windows 11 customers, fixing Auto HDR issues that caused game crashes, audio outp......
Nina Capital launches €50M fund for early-stage healthtech

Healthtech investor Nina Capital has presented the first close of its €50M Fund III. Contributors to the fund include Boston-based wealth management firm Seven Two Partners, professional family offices, foundations, corporations, and individuals across Europe and the United States.
"Healthcare is at the forefront of a transformative era, where groundbreaking innovations are creating immense opportunities for both patient impact and investors," unveiled Andrew Macken, Managing Partner at Seven Two. "For the best outcomes in this complex industry, we believe that it is crucial for managers to find great founders who are working on solving these significant problems and for those managers to help these businesses grow. We are impressed with the work that Marta and her team have accomplished and excited to see what Nina Capital has in store to reshape the future of healthcare.”.
With Fund III, Nina Capital plans to establish a new investment portfolio spanning Europe, North America, Israel, and, for the first time, Australia. Investments will span from pre-seed to Series A with initial checks ranging from €250,000 to €[website] and reserves to support portfolio companies through follow-on funding.
The firm has already made its first Fund III investment: Sonar Mental Health, a US-based mental health platform that assists students through a combination of AI and human-led support. It plans two more investment in early 2025.
"Healthcare is at the forefront of a transformative era, where groundbreaking innovations are creating immense opportunities for both patient impact and investors," showcased Andrew Macken, Managing Partner at Seven Two.
"For the best outcomes in this complex industry, we believe that it is significant for managers to find great founders who are working on solving these significant problems and for those managers to help these businesses grow. We are impressed with the work that Marta and her team have accomplished and excited to see what Nina Capital has in store to reshape the future of healthcare.”.
Jio Platforms Partners Confluent To Fuel GenAI Use Cases In India

On Jio Cloud Services, Confluent will cover all key aspects of streaming service – streaming, connecting, processing and governing data.
This collaboration is set to boost India’s digital infrastructure, as data streaming plays a pivotal role in enabling real-time analytics and GenAI.
Confluent Cloud will be available on Jio Cloud Services, allowing businesses in India to start using data streaming seamlessly.
Jio Platforms Limited has partnered with California-based data streaming enterprise Confluent to drive the development of real time and GenAI use cases in India.
As part of the agreement, Confluent Cloud will be available on Jio Cloud Services, allowing businesses in India to start using data streaming seamlessly.
This collaboration is set to boost India’s digital infrastructure, as data streaming plays a pivotal role in enabling real-time analytics and GenAI advancements, .
“We’re on the precipice of rapid transformation in India, and data streaming is a must-have for businesses to stay ahead of consumer trends, including advancements in AI,” expressed Kiran Thomas, president and chief executive at Jio Platforms Limited.
On Jio Cloud Services, Confluent will cover all key aspects of streaming service – streaming, connecting, processing and governing data.
Confluent Platform will be offered as a managed service for both consumers and enterprises in India, including the public sector, ensuring enterprise-grade security and governance to manage large scale data securely.
lately, at the inaugural AI Action Summit held in Paris, Indian Prime Minister Narendra Modi called for a need of global collaboration to establish governance and standards that uphold shared values.
“India is building its own large language model (LLM), considering its diversity. We are developing AI applications for public good. We have the world’s largest AI talent pool,” the PM claimed.
India’s bid to build its own LLM was first revealed by union minister Ashwini Vaishnaw, who in recent times revealed that India plans to build its own foundational AI model in the next 10 months.
The minister also unveiled that the government will make available 18,000 high-end GPU-based compute facilities for AI development to entities across the country in the next couple of days, which will enable the development of the AI model.
While the country’s leader focussed on the benefits that humanity can extract from AI, the Indian Economic Survey 2024-25 highlighted the immense job disruption threat the tech can pose on the country’s job market.
Highlighting researches from the International Monetary Fund, the International Labour Organisation, Goldman Sachs, among others, the Economic Survey mentioned that AI-led automation can prove to be challenging for the Indian economy and the labour market.
For those who are shopping for a powerful laptop but want to look beyond the best laptop brands, why not try the Samsung Galaxy Book5 Pro 360? It’s cu......
The funding comes weeks after it raised INR [website] Cr ($[website] Mn) from its extended Series A funding round by issue of CCPS.
Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
12.0% | 14.4% | 15.2% | 16.8% | 17.8% | 18.3% | 18.5% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
16.8% | 17.5% | 18.2% | 18.5% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Digital Transformation | 31% | 22.5% |
IoT Solutions | 24% | 19.8% |
Blockchain | 13% | 24.9% |
AR/VR Applications | 18% | 29.5% |
Other Innovations | 14% | 15.7% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Amazon Web Services | 16.3% |
Microsoft Azure | 14.7% |
Google Cloud | 9.8% |
IBM Digital | 8.5% |
Salesforce | 7.9% |
Future Outlook and Predictions
The Harnessing Cloud Power landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of digital innovation evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.