Nikhil Khedlekar

"You know, I was thinking, maybe it’s time we started our own school," said Bartleby Gaines in the movie Accepted. This line from Accepted captures the excitement many of us feel when we are overwhelmed by failures, whether it's a school project or a major AI-driven enterprise project. Just like the group of friends in the movie who decide to start their own school, organizations often jump into AI with high expectations, thinking they will solve everything. Although just like in the movie, they quickly realize that building something from scratch is not as easy as it seems. The same goes for AI. It might seem easy to launch a small AI project but scaling it across an entire business is a whole different ball game. It takes the right team, solid processes, and a clear plan that goes beyond

If you’ve ever fallen down the YouTube rabbit hole of PC-building videos, you know there’s something magical about it. Well, if you’ve ever seen Henry Cavill (yes, Superman himself) building his own PC on YouTube, you know the joy. The satisfying click of a graphics card sliding in, the hum of power coming alive. Meanwhile, PewDiePie, too, is somewhere live-streaming his AI-powered rig, half joking that it might start thinking for itself. These PC-building moments aren’t just about tech, but they’re about freedom. The freedom to choose every part, swap them out, and upgrade without starting over. Now pause for a second. What do these PC-building moments have in common? Well, that’s exactly what Composable Enterprise is all about. Instead of a single, monolithic business sys

Five digital transformation trends in 2026 are moving from isolated modernization projects to an integrated, intelligence-first operating model, where AI, cloud, data, security, and people work as one system.   AI-Powered Business Transformation: 72% of organizations now use AI in at least one function (McKinsey 2024). 65% are using generative AI in at least one business function. Cloud-Native and Edge-First Innovation: Accenture finds organizations with an advanced digital core deliver up to 60% higher revenue growth. Data Fabrics and Real-Time Intelligence: IDC forecasts more than 40 billion IoT devices by 2034. Gartner estimates organizations deploying data fabric will reduce time-to-insight by 70% by 2027. 82% of IoT enterprises use or plan real-time data processing (Omdia 2025). Security-By-Design a

Predicting the future may still be impossible, but businesses are getting surprisingly good at predicting what customers might buy, where risks may appear, and which trends are about to take off. That is exactly why Predictive Analytics Software has become such an important part of modern business decision-making in 2026. Here are the platforms leading the way this year.   Google Cloud BigQuery delivers scalable, serverless predictive analytics with built-in AI and real-time data processing capabilities. Microsoft Azure Machine Learning stands out for end-to-end ML workflows, enterprise governance, and deep customization options. Amazon Web Services QuickSight makes predictive insights easier through natural-language analytics, forecasting, and cloud-native BI dashboards. Databricks Data Intelligence Pla

Some things never sleep—traffic in New York City, overthinking at 2 a.m., that one coworker who replies to emails at midnight and, well, the internet. Always on, always moving, and always ready

Do you remember the first week of your marketing job? Well, we at TechDogs certainly do! Most of you may have started with simple marketing jobs: an SEO audit of your website or running a PPC campaign

Amazon has confirmed ongoing talks to invest up to $50 billion in OpenAI, a move set to reshape the future of artificial intelligence. Amazon's investment in OpenAI could transform AI capabilities

SpaceX and xAI are reportedly in talks to merge ahead of SpaceX’s long-anticipated IPO, which could be slated for 2026. This potential merger would create an extraordinary synergy between SpaceX