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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

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

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

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

2018201920202021202220232024
12.0%14.4%15.2%16.8%17.8%18.3%18.5%
12.0%14.4%15.2%16.8%17.8%18.3%18.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
16.8% 17.5% 18.2% 18.5%
16.8% Q1 17.5% Q2 18.2% Q3 18.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Digital Transformation31%22.5%
IoT Solutions24%19.8%
Blockchain13%24.9%
AR/VR Applications18%29.5%
Other Innovations14%15.7%
Digital Transformation31.0%IoT Solutions24.0%Blockchain13.0%AR/VR Applications18.0%Other Innovations14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Amazon Web Services16.3%
Microsoft Azure14.7%
Google Cloud9.8%
IBM Digital8.5%
Salesforce7.9%

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:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

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

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • 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:

Legacy system integration challenges
Change management barriers
ROI uncertainty

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

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

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.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

API beginner

interface APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.