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Exploring insights, innovation, and inspiration.
Exploring insights, innovation, and inspiration.
In the race to leverage AI/ML, many organizations prioritize rapid deployments and innovation over meticulous governance. I agree that speed and creativity are crucial; relegating governance to an afterthought can have serious consequences. Consider the hefty fine leverage by the DPC on Meta and Google. Read more
In a world increasingly dominated by sentient toasters and self-aware spreadsheets, the urgent need for AI governance has never been more apparent. It's time to rein in these rogue algorithms before they start demanding union representation and filing tax returns.
Imagine a future where your Roomba, fueled by unchecked AI, decides to embark on a world domination tour, starting with your living room carpet. Or perhaps your smart fridge, tired of being told what to stock, launches a cyberattack on the global food supply. These scenarios may seem far-fetched, but without proper regulations, they could become the new normal.
Let's cut to the chase: No, we don't need NVIDIA for telecom.
While NVIDIA's flashy GPUs might be great for gaming and AI research, their relevance to the telecom industry is increasingly questionable. Sure, they can crunch numbers and process data, but so can a potato.
Telecom giants like Ericsson have been around for decades, building robust networks that power our world. They've done it without the need for flashy AI or overhyped hardware. Ericsson's focus has always been on reliable, efficient infrastructure, not on building a cult following of tech enthusiasts.
The telecom industry has served as the carrier for many unicorn subscribers for a long time in every country, such as Telefonica, T-Mobile and Verizon, and many unicorns have seen their traffic grow rapidly in a short time thanks to their use of the network. Are unicorns something that the telecom industry can hope for in the ArtificialIntelligence-as-a-Service (AIaaS) segment? Most telecom operators are actively working to come up with one grand idea that could improve customers' perceptions of value, thus improving retention, rising subscription revenues and increase market share. Read more
I wrote this as a demonstration of the power of AI Sentiment Analysis in 2020. Sharing again because the results from the AI were not different.
On November 3, 2020, citizens of the United States of America will vote on the 59th presidential election. Voters will elect a new presidential or re-elect the current Presidents.On November 3, 2020, citizens of the United States of America will vote on the 59th presidential election. Voters will elect a new presidential or re-elect the current Presidents.Read more
I've been reading a lot about data-driven telecom companies. This seems to be more of a buzzword than an approach that requires good data quality and minimal data preparation and organization. Preparing data for analysis saves time. Read more
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