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Why Everyone’s Suddenly Talking About India’s New Data Protection Rules

The central government, on November 14, notified the long-awaited Digital Personal Data Protection (DPDP) Rules, 2025, formally setting in motion India’s multi-stage rollout of a modern privacy regime.

Notably, some of the provisions take effect immediately, most notably the establishment of the Data Protection Board of India (DPBI), headquartered in the National Capital Region (NCR).

Yet, the more profound transformation will unfold gradually over the next 12 to 18 months, as obligations around consent, processing notices, fiduciary responsibilities, and individual rights slowly come into force.

The announcement came after the Business Software Alliance (BSA), an industry body representing global tech giants like Microsoft, AWS, Adobe, IBM, Salesforce and SAP, among others, urged the Indian government to introduce a text and data mining (TDM) exception in copyright law, stressing that it is key to enabling responsible and competitive use of AI across industries.

The announcement also revives a larger question. During public consultation earlier this year, the draft rules received around 9,000 submissions. For a country of 1.4 billion people navigating an increasingly AI-driven digital landscape, does that number signal robust civic engagement or highlight the extent to which citizen awareness is still missing?

“In a country of over 1.4 billion people, expecting every citizen to become an expert on data privacy laws like the DPDP Act is unrealistic. The average person shouldn’t have to dive deep into legal jargon. Citizens should instead be aware of their basic rights and duties in simple terms, three or four key takeaways they can remember and act on. The conversation shouldn’t be about mastering the fine print, but about empowering individuals with the essentials,” said Pawan Prabhat, co-founder of Shorthills AI.

His point underscores that even as India builds one of the world’s most ambitious digital public infrastructures, individuals are still catching up to the fundamentals of data rights. In the age of generative AI, where personal information can be embedded in training sets, inferred by algorithms or profiled at scale, the stakes have never been higher.

But the uncertainty extends beyond citizens. Companies building AI systems face a regulatory landscape that leaves critical gaps unaddressed.

The DPDP Act mandates transparent processing, revocable consent, strong security controls and clearly defined processor contracts. “But the act leaves key AI issues unclear, such as on automated decisions, profiling, model-training uses, sensitive data distinctions, and core processes like consent, deletion, retention and cross-border transfers, creating major accountability gaps,” Srinivas Padmanabhuni, CTO at AIEnsured, told AIM.

While the draft rules attempt to operationalise the act, India is still negotiating the tension between enabling AI innovation and enforcing meaningful privacy protections.

“The establishment of a definite enforcement timeline signals a critical juncture,” said Mayuran Palanisamy, partner at Deloitte India. The rules emphasise breach reporting, verifiable parental consent, consent manager operations, significant data fiduciary criteria and prescriptive safeguards. Successful implementation will require regulators, businesses and consumers to collaborate continuously, and organisations must invest in updated processes, technologies and training to build transparency and integrate privacy into their systems and culture.

Legal experts echo the sentiment by welcoming the clarity, while warning that interpretational guidance will be essential as the rules move from paper to practice.

“The rules offer clear timelines and added flexibility for children’s data, but the real challenge will be delivering scalable, frictionless parental-consent tokens across India’s digital public infrastructure,” said Aparajita Bharti, founding partner at The Quantum Hub.

Children’s data emerges as another critical front in India’s new privacy regime, one where the government has struck a balance between safety, usability and operational flexibility. According to Bharti, the rules now provide the industry a phased compliance roadmap while addressing long-standing concerns around behavioural monitoring, age-appropriate content, parental controls and verifiable consent.

“We welcome these developments. MeitY has provided much-needed clarity and has been judicious in allowing an adequate transition period with major provisions coming into effect 18 months from now,” Shahana Chatterji, partner at Shardul Amarchand Mangaldas & Co, said.

“The industry must now focus on aligning data practices with the Act, and MeitY will need to provide the regulatory and interpretational clarity that will inevitably be needed,” he added.

India is accelerating into an AI-first decade with digital health records, algorithmic credit scoring, predictive governance systems and generative AI woven into daily life. The DPDP Act and its 2025 Rules will become the framework that determines how innovation, rights and accountability coexist.

The next 18 months will define how India interprets privacy in an AI-shaped world at a time when global peers are tightening their own data laws and determining how more than a billion citizens will experience digital agency in the years ahead.

The post Why Everyone’s Suddenly Talking About India’s New Data Protection Rules appeared first on Analytics India Magazine.

Why Everyone’s Suddenly Talking About India’s New Data Protection Rules

The central government, on November 14, notified the long-awaited Digital Personal Data Protection (DPDP) Rules, 2025, formally setting in motion India’s multi-stage rollout of a modern privacy regime.

Notably, some of the provisions take effect immediately, most notably the establishment of the Data Protection Board of India (DPBI), headquartered in the National Capital Region (NCR).

Yet, the more profound transformation will unfold gradually over the next 12 to 18 months, as obligations around consent, processing notices, fiduciary responsibilities, and individual rights slowly come into force.

The announcement came after the Business Software Alliance (BSA), an industry body representing global tech giants like Microsoft, AWS, Adobe, IBM, Salesforce and SAP, among others, urged the Indian government to introduce a text and data mining (TDM) exception in copyright law, stressing that it is key to enabling responsible and competitive use of AI across industries.

The announcement also revives a larger question. During public consultation earlier this year, the draft rules received around 9,000 submissions. For a country of 1.4 billion people navigating an increasingly AI-driven digital landscape, does that number signal robust civic engagement or highlight the extent to which citizen awareness is still missing?

“In a country of over 1.4 billion people, expecting every citizen to become an expert on data privacy laws like the DPDP Act is unrealistic. The average person shouldn’t have to dive deep into legal jargon. Citizens should instead be aware of their basic rights and duties in simple terms, three or four key takeaways they can remember and act on. The conversation shouldn’t be about mastering the fine print, but about empowering individuals with the essentials,” said Pawan Prabhat, co-founder of Shorthills AI.

His point underscores that even as India builds one of the world’s most ambitious digital public infrastructures, individuals are still catching up to the fundamentals of data rights. In the age of generative AI, where personal information can be embedded in training sets, inferred by algorithms or profiled at scale, the stakes have never been higher.

But the uncertainty extends beyond citizens. Companies building AI systems face a regulatory landscape that leaves critical gaps unaddressed.

The DPDP Act mandates transparent processing, revocable consent, strong security controls and clearly defined processor contracts. “But the act leaves key AI issues unclear, such as on automated decisions, profiling, model-training uses, sensitive data distinctions, and core processes like consent, deletion, retention and cross-border transfers, creating major accountability gaps,” Srinivas Padmanabhuni, CTO at AIEnsured, told AIM.

While the draft rules attempt to operationalise the act, India is still negotiating the tension between enabling AI innovation and enforcing meaningful privacy protections.

“The establishment of a definite enforcement timeline signals a critical juncture,” said Mayuran Palanisamy, partner at Deloitte India. The rules emphasise breach reporting, verifiable parental consent, consent manager operations, significant data fiduciary criteria and prescriptive safeguards. Successful implementation will require regulators, businesses and consumers to collaborate continuously, and organisations must invest in updated processes, technologies and training to build transparency and integrate privacy into their systems and culture.

Legal experts echo the sentiment by welcoming the clarity, while warning that interpretational guidance will be essential as the rules move from paper to practice.

“The rules offer clear timelines and added flexibility for children’s data, but the real challenge will be delivering scalable, frictionless parental-consent tokens across India’s digital public infrastructure,” said Aparajita Bharti, founding partner at The Quantum Hub.

Children’s data emerges as another critical front in India’s new privacy regime, one where the government has struck a balance between safety, usability and operational flexibility. According to Bharti, the rules now provide the industry a phased compliance roadmap while addressing long-standing concerns around behavioural monitoring, age-appropriate content, parental controls and verifiable consent.

“We welcome these developments. MeitY has provided much-needed clarity and has been judicious in allowing an adequate transition period with major provisions coming into effect 18 months from now,” Shahana Chatterji, partner at Shardul Amarchand Mangaldas & Co, said.

“The industry must now focus on aligning data practices with the Act, and MeitY will need to provide the regulatory and interpretational clarity that will inevitably be needed,” he added.

India is accelerating into an AI-first decade with digital health records, algorithmic credit scoring, predictive governance systems and generative AI woven into daily life. The DPDP Act and its 2025 Rules will become the framework that determines how innovation, rights and accountability coexist.

The next 18 months will define how India interprets privacy in an AI-shaped world at a time when global peers are tightening their own data laws and determining how more than a billion citizens will experience digital agency in the years ahead.

The post Why Everyone’s Suddenly Talking About India’s New Data Protection Rules appeared first on Analytics India Magazine.

Why Everyone’s Suddenly Talking About India’s New Data Protection Rules

The central government, on November 14, notified the long-awaited Digital Personal Data Protection (DPDP) Rules, 2025, formally setting in motion India’s multi-stage rollout of a modern privacy regime.

Notably, some of the provisions take effect immediately, most notably the establishment of the Data Protection Board of India (DPBI), headquartered in the National Capital Region (NCR).

Yet, the more profound transformation will unfold gradually over the next 12 to 18 months, as obligations around consent, processing notices, fiduciary responsibilities, and individual rights slowly come into force.

The announcement came after the Business Software Alliance (BSA), an industry body representing global tech giants like Microsoft, AWS, Adobe, IBM, Salesforce and SAP, among others, urged the Indian government to introduce a text and data mining (TDM) exception in copyright law, stressing that it is key to enabling responsible and competitive use of AI across industries.

The announcement also revives a larger question. During public consultation earlier this year, the draft rules received around 9,000 submissions. For a country of 1.4 billion people navigating an increasingly AI-driven digital landscape, does that number signal robust civic engagement or highlight the extent to which citizen awareness is still missing?

“In a country of over 1.4 billion people, expecting every citizen to become an expert on data privacy laws like the DPDP Act is unrealistic. The average person shouldn’t have to dive deep into legal jargon. Citizens should instead be aware of their basic rights and duties in simple terms, three or four key takeaways they can remember and act on. The conversation shouldn’t be about mastering the fine print, but about empowering individuals with the essentials,” said Pawan Prabhat, co-founder of Shorthills AI.

His point underscores that even as India builds one of the world’s most ambitious digital public infrastructures, individuals are still catching up to the fundamentals of data rights. In the age of generative AI, where personal information can be embedded in training sets, inferred by algorithms or profiled at scale, the stakes have never been higher.

But the uncertainty extends beyond citizens. Companies building AI systems face a regulatory landscape that leaves critical gaps unaddressed.

The DPDP Act mandates transparent processing, revocable consent, strong security controls and clearly defined processor contracts. “But the act leaves key AI issues unclear, such as on automated decisions, profiling, model-training uses, sensitive data distinctions, and core processes like consent, deletion, retention and cross-border transfers, creating major accountability gaps,” Srinivas Padmanabhuni, CTO at AIEnsured, told AIM.

While the draft rules attempt to operationalise the act, India is still negotiating the tension between enabling AI innovation and enforcing meaningful privacy protections.

“The establishment of a definite enforcement timeline signals a critical juncture,” said Mayuran Palanisamy, partner at Deloitte India. The rules emphasise breach reporting, verifiable parental consent, consent manager operations, significant data fiduciary criteria and prescriptive safeguards. Successful implementation will require regulators, businesses and consumers to collaborate continuously, and organisations must invest in updated processes, technologies and training to build transparency and integrate privacy into their systems and culture.

Legal experts echo the sentiment by welcoming the clarity, while warning that interpretational guidance will be essential as the rules move from paper to practice.

“The rules offer clear timelines and added flexibility for children’s data, but the real challenge will be delivering scalable, frictionless parental-consent tokens across India’s digital public infrastructure,” said Aparajita Bharti, founding partner at The Quantum Hub.

Children’s data emerges as another critical front in India’s new privacy regime, one where the government has struck a balance between safety, usability and operational flexibility. According to Bharti, the rules now provide the industry a phased compliance roadmap while addressing long-standing concerns around behavioural monitoring, age-appropriate content, parental controls and verifiable consent.

“We welcome these developments. MeitY has provided much-needed clarity and has been judicious in allowing an adequate transition period with major provisions coming into effect 18 months from now,” Shahana Chatterji, partner at Shardul Amarchand Mangaldas & Co, said.

“The industry must now focus on aligning data practices with the Act, and MeitY will need to provide the regulatory and interpretational clarity that will inevitably be needed,” he added.

India is accelerating into an AI-first decade with digital health records, algorithmic credit scoring, predictive governance systems and generative AI woven into daily life. The DPDP Act and its 2025 Rules will become the framework that determines how innovation, rights and accountability coexist.

The next 18 months will define how India interprets privacy in an AI-shaped world at a time when global peers are tightening their own data laws and determining how more than a billion citizens will experience digital agency in the years ahead.

The post Why Everyone’s Suddenly Talking About India’s New Data Protection Rules appeared first on Analytics India Magazine.

Why Everyone’s Suddenly Talking About India’s New Data Protection Rules

The central government, on November 14, notified the long-awaited Digital Personal Data Protection (DPDP) Rules, 2025, formally setting in motion India’s multi-stage rollout of a modern privacy regime.

Notably, some of the provisions take effect immediately, most notably the establishment of the Data Protection Board of India (DPBI), headquartered in the National Capital Region (NCR).

Yet, the more profound transformation will unfold gradually over the next 12 to 18 months, as obligations around consent, processing notices, fiduciary responsibilities, and individual rights slowly come into force.

The announcement came after the Business Software Alliance (BSA), an industry body representing global tech giants like Microsoft, AWS, Adobe, IBM, Salesforce and SAP, among others, urged the Indian government to introduce a text and data mining (TDM) exception in copyright law, stressing that it is key to enabling responsible and competitive use of AI across industries.

The announcement also revives a larger question. During public consultation earlier this year, the draft rules received around 9,000 submissions. For a country of 1.4 billion people navigating an increasingly AI-driven digital landscape, does that number signal robust civic engagement or highlight the extent to which citizen awareness is still missing?

“In a country of over 1.4 billion people, expecting every citizen to become an expert on data privacy laws like the DPDP Act is unrealistic. The average person shouldn’t have to dive deep into legal jargon. Citizens should instead be aware of their basic rights and duties in simple terms, three or four key takeaways they can remember and act on. The conversation shouldn’t be about mastering the fine print, but about empowering individuals with the essentials,” said Pawan Prabhat, co-founder of Shorthills AI.

His point underscores that even as India builds one of the world’s most ambitious digital public infrastructures, individuals are still catching up to the fundamentals of data rights. In the age of generative AI, where personal information can be embedded in training sets, inferred by algorithms or profiled at scale, the stakes have never been higher.

But the uncertainty extends beyond citizens. Companies building AI systems face a regulatory landscape that leaves critical gaps unaddressed.

The DPDP Act mandates transparent processing, revocable consent, strong security controls and clearly defined processor contracts. “But the act leaves key AI issues unclear, such as on automated decisions, profiling, model-training uses, sensitive data distinctions, and core processes like consent, deletion, retention and cross-border transfers, creating major accountability gaps,” Srinivas Padmanabhuni, CTO at AIEnsured, told AIM.

While the draft rules attempt to operationalise the act, India is still negotiating the tension between enabling AI innovation and enforcing meaningful privacy protections.

“The establishment of a definite enforcement timeline signals a critical juncture,” said Mayuran Palanisamy, partner at Deloitte India. The rules emphasise breach reporting, verifiable parental consent, consent manager operations, significant data fiduciary criteria and prescriptive safeguards. Successful implementation will require regulators, businesses and consumers to collaborate continuously, and organisations must invest in updated processes, technologies and training to build transparency and integrate privacy into their systems and culture.

Legal experts echo the sentiment by welcoming the clarity, while warning that interpretational guidance will be essential as the rules move from paper to practice.

“The rules offer clear timelines and added flexibility for children’s data, but the real challenge will be delivering scalable, frictionless parental-consent tokens across India’s digital public infrastructure,” said Aparajita Bharti, founding partner at The Quantum Hub.

Children’s data emerges as another critical front in India’s new privacy regime, one where the government has struck a balance between safety, usability and operational flexibility. According to Bharti, the rules now provide the industry a phased compliance roadmap while addressing long-standing concerns around behavioural monitoring, age-appropriate content, parental controls and verifiable consent.

“We welcome these developments. MeitY has provided much-needed clarity and has been judicious in allowing an adequate transition period with major provisions coming into effect 18 months from now,” Shahana Chatterji, partner at Shardul Amarchand Mangaldas & Co, said.

“The industry must now focus on aligning data practices with the Act, and MeitY will need to provide the regulatory and interpretational clarity that will inevitably be needed,” he added.

India is accelerating into an AI-first decade with digital health records, algorithmic credit scoring, predictive governance systems and generative AI woven into daily life. The DPDP Act and its 2025 Rules will become the framework that determines how innovation, rights and accountability coexist.

The next 18 months will define how India interprets privacy in an AI-shaped world at a time when global peers are tightening their own data laws and determining how more than a billion citizens will experience digital agency in the years ahead.

The post Why Everyone’s Suddenly Talking About India’s New Data Protection Rules appeared first on Analytics India Magazine.

Why Everyone’s Suddenly Talking About India’s New Data Protection Rules

The central government, on November 14, notified the long-awaited Digital Personal Data Protection (DPDP) Rules, 2025, formally setting in motion India’s multi-stage rollout of a modern privacy regime.

Notably, some of the provisions take effect immediately, most notably the establishment of the Data Protection Board of India (DPBI), headquartered in the National Capital Region (NCR).

Yet, the more profound transformation will unfold gradually over the next 12 to 18 months, as obligations around consent, processing notices, fiduciary responsibilities, and individual rights slowly come into force.

The announcement came after the Business Software Alliance (BSA), an industry body representing global tech giants like Microsoft, AWS, Adobe, IBM, Salesforce and SAP, among others, urged the Indian government to introduce a text and data mining (TDM) exception in copyright law, stressing that it is key to enabling responsible and competitive use of AI across industries.

The announcement also revives a larger question. During public consultation earlier this year, the draft rules received around 9,000 submissions. For a country of 1.4 billion people navigating an increasingly AI-driven digital landscape, does that number signal robust civic engagement or highlight the extent to which citizen awareness is still missing?

“In a country of over 1.4 billion people, expecting every citizen to become an expert on data privacy laws like the DPDP Act is unrealistic. The average person shouldn’t have to dive deep into legal jargon. Citizens should instead be aware of their basic rights and duties in simple terms, three or four key takeaways they can remember and act on. The conversation shouldn’t be about mastering the fine print, but about empowering individuals with the essentials,” said Pawan Prabhat, co-founder of Shorthills AI.

His point underscores that even as India builds one of the world’s most ambitious digital public infrastructures, individuals are still catching up to the fundamentals of data rights. In the age of generative AI, where personal information can be embedded in training sets, inferred by algorithms or profiled at scale, the stakes have never been higher.

But the uncertainty extends beyond citizens. Companies building AI systems face a regulatory landscape that leaves critical gaps unaddressed.

The DPDP Act mandates transparent processing, revocable consent, strong security controls and clearly defined processor contracts. “But the act leaves key AI issues unclear, such as on automated decisions, profiling, model-training uses, sensitive data distinctions, and core processes like consent, deletion, retention and cross-border transfers, creating major accountability gaps,” Srinivas Padmanabhuni, CTO at AIEnsured, told AIM.

While the draft rules attempt to operationalise the act, India is still negotiating the tension between enabling AI innovation and enforcing meaningful privacy protections.

“The establishment of a definite enforcement timeline signals a critical juncture,” said Mayuran Palanisamy, partner at Deloitte India. The rules emphasise breach reporting, verifiable parental consent, consent manager operations, significant data fiduciary criteria and prescriptive safeguards. Successful implementation will require regulators, businesses and consumers to collaborate continuously, and organisations must invest in updated processes, technologies and training to build transparency and integrate privacy into their systems and culture.

Legal experts echo the sentiment by welcoming the clarity, while warning that interpretational guidance will be essential as the rules move from paper to practice.

“The rules offer clear timelines and added flexibility for children’s data, but the real challenge will be delivering scalable, frictionless parental-consent tokens across India’s digital public infrastructure,” said Aparajita Bharti, founding partner at The Quantum Hub.

Children’s data emerges as another critical front in India’s new privacy regime, one where the government has struck a balance between safety, usability and operational flexibility. According to Bharti, the rules now provide the industry a phased compliance roadmap while addressing long-standing concerns around behavioural monitoring, age-appropriate content, parental controls and verifiable consent.

“We welcome these developments. MeitY has provided much-needed clarity and has been judicious in allowing an adequate transition period with major provisions coming into effect 18 months from now,” Shahana Chatterji, partner at Shardul Amarchand Mangaldas & Co, said.

“The industry must now focus on aligning data practices with the Act, and MeitY will need to provide the regulatory and interpretational clarity that will inevitably be needed,” he added.

India is accelerating into an AI-first decade with digital health records, algorithmic credit scoring, predictive governance systems and generative AI woven into daily life. The DPDP Act and its 2025 Rules will become the framework that determines how innovation, rights and accountability coexist.

The next 18 months will define how India interprets privacy in an AI-shaped world at a time when global peers are tightening their own data laws and determining how more than a billion citizens will experience digital agency in the years ahead.

The post Why Everyone’s Suddenly Talking About India’s New Data Protection Rules appeared first on Analytics India Magazine.

Oracle Just Solved Multicloud’s Biggest Problem 

Oracle has set off a quiet but seismic shift in the cloud industry. At Oracle AI World 2025, the company confirmed to AIM that it is officially the first in the world to launch Multicloud Universal Credits, a single currency that allows enterprises to run AI and database workloads across AWS, Azure, Google Cloud, and Oracle Cloud Infrastructure (OCI) with complete commercial freedom.

While hyperscalers continued tightening their perimeters through proprietary interconnects and marketplace constraints, Oracle took the opposite route of breaking the cloud walls entirely.

And the person explaining this shift with rare clarity is someone who has seen Oracle’s evolution up close for nearly three decades, Maria Colgan, a 1996 Oracle veteran, widely regarded as one of the most influential database minds inside the company.

Today, as VP of product management for AI and mission-critical data, she leads the product direction for Oracle’s AI engines, Advanced Compression, Database In-Memory, and more. She calls herself a “database nerd,” and her SQLMaria blog is followed by engineers across the world.

Speaking exclusively to AIM, she laid out why this moment matters.

Freedom, Finally

Asked how Universal Multicloud Credits change how enterprises run AI and data across multiple clouds, Colgan said the model gives customers true freedom to run workloads anywhere their data resides, without worrying about costs, movement, or cloud-specific limitations.

“It definitely does change the game. It’s going to open up the freedom that our customers are used to with the Oracle Database, to allow them to run it anywhere they want and wherever their data may be.”

“That Universal Credit… opens up that playground for them to be able to leverage the data wherever it exists, without having to worry about ingress fees and moving data around to get that holistic view of their business,” she added.

This is where Oracle’s strategy diverges sharply from AWS, Azure, and GCP. When asked if Oracle was turning its biggest competitors into distribution channels, Colgan reframed the question with Oracle’s long-time philosophy. She said Oracle sees them as partners working together to bring the best database and AI technologies to customers, enabling agentic workloads to run anywhere without concerns about cost or data movement.

Further, she confirmed, saying that Oracle is currently leading the market with this model.

“One of the first initiatives… to give customers that level of freedom. Mr Ellison and Oracle have always had that vision of freedom for our customers. I do think we are the first in the industry to do that, and it’ll change the way people are going to manage their expenses in cloud going forward,” she added, saying, “That’s why people are excited about this, to access everything, right?”

Clearly, Oracle is really good at naming its products

What Oracle has done commercially is as important as what it has done technically. Karan Batta, senior vice president at Oracle Cloud Infrastructure, broke down the system with characteristic humour. “Clearly, Oracle is really good at naming their products.”

“It’s a single currency that allows you to purchase any Oracle Cloud or Oracle product,” he added, saying, “You can use that same currency to consume database services on any cloud.”

This is the first time enterprises are being offered commercial portability, not just technical portability, across the four dominant clouds.

26ai: AI Where the Data Lives, and Not the Other Way Around

But Oracle didn’t stop with a commercial breakthrough. It also introduced its most ambitious database update in decades, Oracle Database 26ai.

Colgan explained why this matters.

“We’ve put AI into the data platform… not a bolt-on or add-on. Before, you had to wait for data to leave transactional systems, move downstream, and then use third-party tools for insights. By putting AI into the transaction processing systems, we can do real-time AI right there as part of those transactions,” she said

Where competitors run AI only inside analytics engines or lakehouses, Oracle is running it everywhere, including on mission-critical systems that run banks, telcos, and retailers.

This architecture becomes even more important in the age of agentic AI, where workflows require multi-step reasoning.

“With agentic AI, you’re allowing the AI to do reasoning, decision-making based on inputs and the environment. Because people have data across different clouds, being able to access and use that data in these multi-step workflows is going to be huge,” Colgan added.

She also highlighted the ongoing shift from public to private data as the true competitive moat. “The real moat is where you get the private data… being able to do that securely inside the Oracle Database is incredibly mind-blowing for customers,” she said.

Colagan said that everything inside 26ai, including vectors, embeddings, RAG, graph, spatial, and relational, is engineered to work together. “We’re not asking you to integrate those… we’re taking care of that on the backend, simplifying things and giving you that unified security approach, high availability, and scalability,” she concluded.

The post Oracle Just Solved Multicloud’s Biggest Problem appeared first on Analytics India Magazine.