Author | Lightnews

Tarun Mathur @tarunmathur.bsky.social · 5d

There is a seismic shift happening in software engineering.
Are you ready for it?
#ai
#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 10d

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

1

Tarun Mathur @tarunmathur.bsky.social · 10d

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

1

Tarun Mathur @tarunmathur.bsky.social · 10d

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

1

Tarun Mathur @tarunmathur.bsky.social · 10d

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

2

Tarun Mathur @tarunmathur.bsky.social · 12d

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

Tarun Mathur @tarunmathur.bsky.social · 12d

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

Tarun Mathur @tarunmathur.bsky.social · 12d

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

1

Tarun Mathur @tarunmathur.bsky.social · 12d

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

3

Tarun Mathur @tarunmathur.bsky.social · 12d

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

1

Tarun Mathur @tarunmathur.bsky.social · 12d

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

Tarun Mathur @tarunmathur.bsky.social · 13d

Foundation pillars for #AI adoption extend beyond technology and include many themes, one of the most important being #orgculture.

It is crucial to foster an #experimental mindset, promote #dataliteracy and collaboration between biz and tech teams.

#OrgInertia #AIStrategy #TMinsights

Tarun Mathur @tarunmathur.bsky.social · 13d

Enterprises aiming to become #algorithmic should strive to embed #AI into key areas of operation

AI can help transform data into continuous actionable #insights that drive #intelligent processes across the organization.

This can create a truly #data-driven enterprise.

#AIInsights #TMinsights

Tarun Mathur @tarunmathur.bsky.social · 14d

Effective and responsible #AI implementation will require leaders to ensure balance between control and #autonomy.
Establish clear boundaries and #escalation paths- when should AI make the call and when should human step in etc?
Define these roles upfront.

#AIStrategy #TMinsights

Tarun Mathur @tarunmathur.bsky.social · 17d

Observability in #AI is crucial for maintaining performance, detecting anomalies and debugging issues.

Observability involves monitoring #model inputs, outputs, internal states and system health in real time to understand how and why AI systems are making decisions.

#AIStrategy #TMinsights

Tarun Mathur @tarunmathur.bsky.social · 18d

Org inertia, lack of data readiness, integration challenges and lack of skilled talent need to be addressed before you see enterprise AI value unlock.

#AIStrategy
#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 18d

If you want to differentiate through #AI adoption, you'll have to look beyond the #hype.

True differentiation comes from solving unique business problems, creating new CX or optimizing core processes in ways your competitors can't replicate.

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 20d

Scenario planning in enterprises is getting an #AI upgrade. AI is helping analyse vast datasets to model future outcomes, #stress-test strategies and identify emerging opportunities.

This isn't forecasting; it's proactive #future-shaping.

#TMinsights

1

Tarun Mathur @tarunmathur.bsky.social · 20d

While #LLMs dominate headlines, a growing trend sees enterprises opting for smaller yet highghly specialized #SLMs.

SLMs, often fine-tuned on proprietary data, offer fmgreater efficiency, lower operational costs, and enhanced #dataprivacy for specific business functions.
#EdgeAI

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 25d

A robust #governance architecture for #AI involves defining clear roles, responsibilities, and decision-making processes.

It also means establishing #ethical review boards and frameworks to navigate complex dilemmas, ensuring AI aligns with corporate #values and societal good.

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 25d

Enterprises will need to learn to prevent #autonomy from turning into #opacity.

By embedding #explainability and #interpretability into the design of #autonomousAI systems, maintaining human oversight capabilities, and establishing #audittrails for all automated decisions.

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 25d

Choosing between #off-the-shelf and custom AI solutions depends on your unique needs.

Off-the-shelf offers #speed and lower initial cost , while #custom solutions provide #competitiveadvantage and deeper integration.

Evaluate trade-offs carefully. #AIChoice #BuildVsBuyAI #CustomAI

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 25d

Ensuring #observability in AI is critical for maintaining performance, detecting #anomalies, and debugging issues.

This involves #monitoring model inputs, outputs, internal states, and #systemhealth in real-time to understand how and why AI systems are making decisions.

#TMinsights

1

Tarun Mathur @tarunmathur.bsky.social · 25d

What are the biggest barriers to #scaling AI beyond PoC? Often, it's not the technology, but organizational #inertia, lack of data readiness, integration challenges with legacy systems, and a shortage of skilled talent.

Addressing these is key to unlocking #enterprise-wide AI value.

#TMinsights

Tarun Mathur @tarunmathur.bsky.social · 26d

Differentiating through #AI adoption requires looking beyond the #hype.

True #differentiation comes from solving unique business problems, creating new cx, or optimizing processes in ways competitors can't easily replicate.

It's about #strategic application, not just technology.

#TMinsights