Tarun Mathur
@tarunmathur.bsky.social
#GrowthAdvisory #CorporateStrategy #ScaleupStrategy #FoundersAdvice #Fintech #AI #Web3 #EnterpriseTech #Cybersecurity | #KelloggAlum
Enterprises need dual governance of data and AI.
Data governance involves data quality, lineage, provenance, access controls, and privacy protections etc.
AI governance includes model risk management, bias detection, safety controls, deployment guardrails, and impact monitoring.
#TMinsights
Data governance involves data quality, lineage, provenance, access controls, and privacy protections etc.
AI governance includes model risk management, bias detection, safety controls, deployment guardrails, and impact monitoring.
#TMinsights
November 21, 2025 at 8:12 AM
Enterprises need dual governance of data and AI.
Data governance involves data quality, lineage, provenance, access controls, and privacy protections etc.
AI governance includes model risk management, bias detection, safety controls, deployment guardrails, and impact monitoring.
#TMinsights
Data governance involves data quality, lineage, provenance, access controls, and privacy protections etc.
AI governance includes model risk management, bias detection, safety controls, deployment guardrails, and impact monitoring.
#TMinsights
The Chief Data / AI officer's mandate has ballooned from managing data silos to embedding #AI as the “nervous system” of the enterprise.
He must orchestrate a shift from reactive automation to proactive autonomy. Fuse risk modeling, customer insights, and innovation pipelines.
#TMinsights
He must orchestrate a shift from reactive automation to proactive autonomy. Fuse risk modeling, customer insights, and innovation pipelines.
#TMinsights
November 21, 2025 at 7:42 AM
The Chief Data / AI officer's mandate has ballooned from managing data silos to embedding #AI as the “nervous system” of the enterprise.
He must orchestrate a shift from reactive automation to proactive autonomy. Fuse risk modeling, customer insights, and innovation pipelines.
#TMinsights
He must orchestrate a shift from reactive automation to proactive autonomy. Fuse risk modeling, customer insights, and innovation pipelines.
#TMinsights
Beyond GenAI, the development of intelligent #agents capable of performing complex, multi-step tasks with minimal human oversight is pushing the boundaries of automation.
Winners will be those who are able to credibly position AI as a central pillar of competitive differentiation.
#TMinsights
Winners will be those who are able to credibly position AI as a central pillar of competitive differentiation.
#TMinsights
November 20, 2025 at 11:39 PM
Beyond GenAI, the development of intelligent #agents capable of performing complex, multi-step tasks with minimal human oversight is pushing the boundaries of automation.
Winners will be those who are able to credibly position AI as a central pillar of competitive differentiation.
#TMinsights
Winners will be those who are able to credibly position AI as a central pillar of competitive differentiation.
#TMinsights
A model is only as unbiased as the team that builds it; #diversity is the best regularizer.
#TMinsights
#TMinsights
November 20, 2025 at 11:11 PM
A model is only as unbiased as the team that builds it; #diversity is the best regularizer.
#TMinsights
#TMinsights
Don't treat AI as a tool. Make it the intelligence fabric of the enterprise.
But #datahygiene is a non-negotiable pre-requisite.
This will be the most primary imperative as board and executives increasingly demand hard‑wired ROI rather than pilot‑phase hype.
#TMinsights
But #datahygiene is a non-negotiable pre-requisite.
This will be the most primary imperative as board and executives increasingly demand hard‑wired ROI rather than pilot‑phase hype.
#TMinsights
November 20, 2025 at 11:03 PM
Don't treat AI as a tool. Make it the intelligence fabric of the enterprise.
But #datahygiene is a non-negotiable pre-requisite.
This will be the most primary imperative as board and executives increasingly demand hard‑wired ROI rather than pilot‑phase hype.
#TMinsights
But #datahygiene is a non-negotiable pre-requisite.
This will be the most primary imperative as board and executives increasingly demand hard‑wired ROI rather than pilot‑phase hype.
#TMinsights
Balance compliance with innovation – keep the ship seaworthy while sailing into uncharted waters.
Establish dual‑track governance: “sandbox‑first” for high‑risk experiments, “production‑first” for proven use‑cases.
#TMinsights
Establish dual‑track governance: “sandbox‑first” for high‑risk experiments, “production‑first” for proven use‑cases.
#TMinsights
November 20, 2025 at 10:49 PM
Balance compliance with innovation – keep the ship seaworthy while sailing into uncharted waters.
Establish dual‑track governance: “sandbox‑first” for high‑risk experiments, “production‑first” for proven use‑cases.
#TMinsights
Establish dual‑track governance: “sandbox‑first” for high‑risk experiments, “production‑first” for proven use‑cases.
#TMinsights
AI has moved from “nice‑to‑have” to “strategic‑core.”
Data is the fuel; without clean, compliant, and accessible data the AI engine will sputters.
Centralised #data‑fabric, #federated‑learning, and a “single source of truth” catalogue that feeds every model, product, and insight.
#TMinsights
Data is the fuel; without clean, compliant, and accessible data the AI engine will sputters.
Centralised #data‑fabric, #federated‑learning, and a “single source of truth” catalogue that feeds every model, product, and insight.
#TMinsights
November 20, 2025 at 10:44 PM
AI has moved from “nice‑to‑have” to “strategic‑core.”
Data is the fuel; without clean, compliant, and accessible data the AI engine will sputters.
Centralised #data‑fabric, #federated‑learning, and a “single source of truth” catalogue that feeds every model, product, and insight.
#TMinsights
Data is the fuel; without clean, compliant, and accessible data the AI engine will sputters.
Centralised #data‑fabric, #federated‑learning, and a “single source of truth” catalogue that feeds every model, product, and insight.
#TMinsights
Board education of #AI is crucial.
Build literacy programs around #AIeconomics, risk modeling, #explainability, and the regulatory landscape.
Use tangible metrics—#time-to-value improvements, change in risk exposure, fairness scores, and auditability.
#TMinsights
Build literacy programs around #AIeconomics, risk modeling, #explainability, and the regulatory landscape.
Use tangible metrics—#time-to-value improvements, change in risk exposure, fairness scores, and auditability.
#TMinsights
November 20, 2025 at 10:39 PM
Board education of #AI is crucial.
Build literacy programs around #AIeconomics, risk modeling, #explainability, and the regulatory landscape.
Use tangible metrics—#time-to-value improvements, change in risk exposure, fairness scores, and auditability.
#TMinsights
Build literacy programs around #AIeconomics, risk modeling, #explainability, and the regulatory landscape.
Use tangible metrics—#time-to-value improvements, change in risk exposure, fairness scores, and auditability.
#TMinsights
Enterprise tech architectures of going forward will have to institutionalize #fairness and transparency.
Build explainable systems before regulators ask for it.
#Observability should be core infra and not an add-on.
#TMinsights
Build explainable systems before regulators ask for it.
#Observability should be core infra and not an add-on.
#TMinsights
November 20, 2025 at 9:37 PM
Enterprise tech architectures of going forward will have to institutionalize #fairness and transparency.
Build explainable systems before regulators ask for it.
#Observability should be core infra and not an add-on.
#TMinsights
Build explainable systems before regulators ask for it.
#Observability should be core infra and not an add-on.
#TMinsights
Scaling up AI to enterprise-level impact will need leaders to act with discipline and speed.
Leverage composable architectures (APIs, data fabrics, and microservices) and build reusable data products. Codify standards, share assets, and mentor teams.
#TMinsights
Leverage composable architectures (APIs, data fabrics, and microservices) and build reusable data products. Codify standards, share assets, and mentor teams.
#TMinsights
November 17, 2025 at 4:25 AM
Scaling up AI to enterprise-level impact will need leaders to act with discipline and speed.
Leverage composable architectures (APIs, data fabrics, and microservices) and build reusable data products. Codify standards, share assets, and mentor teams.
#TMinsights
Leverage composable architectures (APIs, data fabrics, and microservices) and build reusable data products. Codify standards, share assets, and mentor teams.
#TMinsights
Enterprises hoping to draw value from #AI should think holistically and architect an AI operating system - a #composable, modular, observable platform that scales.
Data is your strategic asset and AI should be your OS. It should shape the data architecture, data & model governance.
#TMinsights
Data is your strategic asset and AI should be your OS. It should shape the data architecture, data & model governance.
#TMinsights
November 17, 2025 at 4:17 AM
Enterprises hoping to draw value from #AI should think holistically and architect an AI operating system - a #composable, modular, observable platform that scales.
Data is your strategic asset and AI should be your OS. It should shape the data architecture, data & model governance.
#TMinsights
Data is your strategic asset and AI should be your OS. It should shape the data architecture, data & model governance.
#TMinsights
Chief Data, Tech, Innovation officers have to become become chief of #clarity in today's AI era – make #AI understandable, governable.
Things are changing at meteoric velocity. The person needs to have strategic foresight, ethical stewardship, tech mastery, & relentless #advocacy.
#TMinsights
Things are changing at meteoric velocity. The person needs to have strategic foresight, ethical stewardship, tech mastery, & relentless #advocacy.
#TMinsights
November 16, 2025 at 6:11 PM
Chief Data, Tech, Innovation officers have to become become chief of #clarity in today's AI era – make #AI understandable, governable.
Things are changing at meteoric velocity. The person needs to have strategic foresight, ethical stewardship, tech mastery, & relentless #advocacy.
#TMinsights
Things are changing at meteoric velocity. The person needs to have strategic foresight, ethical stewardship, tech mastery, & relentless #advocacy.
#TMinsights
Single agents are useful. Multi-agent systems are transformative.
Organizations designing #agent architectures with clear handoffs and oversight gain velocity.
The future isn't one brilliant #AI—it's many specialized agents working in concert.
#TMinsights
Organizations designing #agent architectures with clear handoffs and oversight gain velocity.
The future isn't one brilliant #AI—it's many specialized agents working in concert.
#TMinsights
November 10, 2025 at 2:37 PM
Single agents are useful. Multi-agent systems are transformative.
Organizations designing #agent architectures with clear handoffs and oversight gain velocity.
The future isn't one brilliant #AI—it's many specialized agents working in concert.
#TMinsights
Organizations designing #agent architectures with clear handoffs and oversight gain velocity.
The future isn't one brilliant #AI—it's many specialized agents working in concert.
#TMinsights
Mid-career professionals and industry insiders are breaking into #entrepreneurshipByAcquisition in record numbers. Investors are eager to back pragmatic “operator-first” leaders.
The next five years could see #searchfunds become a mainstream portfolio staple.
#TMinsights #MicroPE
The next five years could see #searchfunds become a mainstream portfolio staple.
#TMinsights #MicroPE
November 10, 2025 at 4:34 AM
Mid-career professionals and industry insiders are breaking into #entrepreneurshipByAcquisition in record numbers. Investors are eager to back pragmatic “operator-first” leaders.
The next five years could see #searchfunds become a mainstream portfolio staple.
#TMinsights #MicroPE
The next five years could see #searchfunds become a mainstream portfolio staple.
#TMinsights #MicroPE
October 26, 2025 at 6:41 AM
Enterprise leaders shouldn't get stuck on building #AI in isolation. It's not about capability. Leverage the #ecosystem for accelerated development and adoption.
#AIStrategy
#TMinsights
#AIStrategy
#TMinsights
October 21, 2025 at 1:48 PM
Enterprise leaders shouldn't get stuck on building #AI in isolation. It's not about capability. Leverage the #ecosystem for accelerated development and adoption.
#AIStrategy
#TMinsights
#AIStrategy
#TMinsights
Successful AI adoption requires a culture of continuous #experimentation.
Rapid prototyping, A/B testing, and #iterativerefinement are key to discovering high- impact use-cases and optimizing performance.
#AIStrategy
#TMinsights
Rapid prototyping, A/B testing, and #iterativerefinement are key to discovering high- impact use-cases and optimizing performance.
#AIStrategy
#TMinsights
October 21, 2025 at 1:43 PM
Successful AI adoption requires a culture of continuous #experimentation.
Rapid prototyping, A/B testing, and #iterativerefinement are key to discovering high- impact use-cases and optimizing performance.
#AIStrategy
#TMinsights
Rapid prototyping, A/B testing, and #iterativerefinement are key to discovering high- impact use-cases and optimizing performance.
#AIStrategy
#TMinsights
Processing #AI models on #edge devices reducea latency, enhances privacy, and lowers bandwidth requirements.
This trend is critical for applications requiring immediate #insights and robust local control.
#AIStrategy
#TMinsights
This trend is critical for applications requiring immediate #insights and robust local control.
#AIStrategy
#TMinsights
October 21, 2025 at 11:45 AM
Processing #AI models on #edge devices reducea latency, enhances privacy, and lowers bandwidth requirements.
This trend is critical for applications requiring immediate #insights and robust local control.
#AIStrategy
#TMinsights
This trend is critical for applications requiring immediate #insights and robust local control.
#AIStrategy
#TMinsights
The traditional separation between #datascience (model building) and #MLOps (model deployment & management) is dissolving.
Data scientists need MLOps skills, and MLOps engineers need a deeper understanding of model behavior for effective productionization.
#SkillConvergence
#TMinsights
Data scientists need MLOps skills, and MLOps engineers need a deeper understanding of model behavior for effective productionization.
#SkillConvergence
#TMinsights
October 21, 2025 at 11:37 AM
The traditional separation between #datascience (model building) and #MLOps (model deployment & management) is dissolving.
Data scientists need MLOps skills, and MLOps engineers need a deeper understanding of model behavior for effective productionization.
#SkillConvergence
#TMinsights
Data scientists need MLOps skills, and MLOps engineers need a deeper understanding of model behavior for effective productionization.
#SkillConvergence
#TMinsights
The "as-a-service" model is expanding to AI, making advanced capabilities more #accessible to enterprises without massive upfront investments.
Platforms are offering #pre-trained models and tools for specific tasks, lowering the barrier to entry for many organizations.
#TMinsights
Platforms are offering #pre-trained models and tools for specific tasks, lowering the barrier to entry for many organizations.
#TMinsights
October 19, 2025 at 5:53 PM
The "as-a-service" model is expanding to AI, making advanced capabilities more #accessible to enterprises without massive upfront investments.
Platforms are offering #pre-trained models and tools for specific tasks, lowering the barrier to entry for many organizations.
#TMinsights
Platforms are offering #pre-trained models and tools for specific tasks, lowering the barrier to entry for many organizations.
#TMinsights
I'm seeing developers rapidly integrating #AI into their workflows. Besides the usual autocomplege, AI platforms are now generating code, debugging, refactoring capabilities etc.
This frees up their time for higher order #architectural design and complex problem solving.
#TMinsights
This frees up their time for higher order #architectural design and complex problem solving.
#TMinsights
October 19, 2025 at 5:23 PM
I'm seeing developers rapidly integrating #AI into their workflows. Besides the usual autocomplege, AI platforms are now generating code, debugging, refactoring capabilities etc.
This frees up their time for higher order #architectural design and complex problem solving.
#TMinsights
This frees up their time for higher order #architectural design and complex problem solving.
#TMinsights
Hallucinations in #AI models are a reality. Managing it requires grounding models in verified #knowledgebases, providing clear context and using #HITL.
All this requires conscious #critical judgement and #governance embedded by design.
#AIStrategy #TMinsights
All this requires conscious #critical judgement and #governance embedded by design.
#AIStrategy #TMinsights
October 19, 2025 at 7:03 AM
Hallucinations in #AI models are a reality. Managing it requires grounding models in verified #knowledgebases, providing clear context and using #HITL.
All this requires conscious #critical judgement and #governance embedded by design.
#AIStrategy #TMinsights
All this requires conscious #critical judgement and #governance embedded by design.
#AIStrategy #TMinsights
Happy to see regulators becoming progressive about new tech regulations.
Even for #AI, I see conversations and efforts to define "rules of the road.
Enterprises that integrate regulatory compliance into their AI development #lifecycle will gain a significant edge.
#AIStrategy
#TMinsights
Even for #AI, I see conversations and efforts to define "rules of the road.
Enterprises that integrate regulatory compliance into their AI development #lifecycle will gain a significant edge.
#AIStrategy
#TMinsights
October 19, 2025 at 5:05 AM
Happy to see regulators becoming progressive about new tech regulations.
Even for #AI, I see conversations and efforts to define "rules of the road.
Enterprises that integrate regulatory compliance into their AI development #lifecycle will gain a significant edge.
#AIStrategy
#TMinsights
Even for #AI, I see conversations and efforts to define "rules of the road.
Enterprises that integrate regulatory compliance into their AI development #lifecycle will gain a significant edge.
#AIStrategy
#TMinsights
If you want to differentiate through #AI you'll have to think beyond just efficiency gains and look at creating new forms of #value with it.
But for that, first break down your #datasilos and build a unified, high quality #datafoundation.
#AIStrategy #TMinsights
But for that, first break down your #datasilos and build a unified, high quality #datafoundation.
#AIStrategy #TMinsights
October 19, 2025 at 4:47 AM
If you want to differentiate through #AI you'll have to think beyond just efficiency gains and look at creating new forms of #value with it.
But for that, first break down your #datasilos and build a unified, high quality #datafoundation.
#AIStrategy #TMinsights
But for that, first break down your #datasilos and build a unified, high quality #datafoundation.
#AIStrategy #TMinsights
Limitations of deploying autonomous #AI include the potential of #unforseen interactions, difficulty in debugging complex systems and the challenge of assigning #accountability when things go wrong.
It's an on-going commitment to #fairness and not a one-time fix.
#AIStrategy #TMinsights
It's an on-going commitment to #fairness and not a one-time fix.
#AIStrategy #TMinsights
October 19, 2025 at 3:05 AM
Limitations of deploying autonomous #AI include the potential of #unforseen interactions, difficulty in debugging complex systems and the challenge of assigning #accountability when things go wrong.
It's an on-going commitment to #fairness and not a one-time fix.
#AIStrategy #TMinsights
It's an on-going commitment to #fairness and not a one-time fix.
#AIStrategy #TMinsights