Versuchen GOLD - Frei

Emerging Technologies - A Segment Analysis

DataQuest

|

October,2019, DQ-Top 20 Volume-2

There are so many new and emerging technologies going around that it can actually make your head spin, simply, by reading about them! So, where should we start?

- Pradeep Chakraborty

Emerging Technologies - A Segment Analysis

We have the following segments in the emerging tech sector; and there may be more

1. AI

2. Analytics

3. RPA

4. Industry 4.0

5. Robotics

6. Edge

7. IoT/IonT

8. Quantum computing

9. AR/VR

10. 3D printing

AI/ML

Anyone remember the movie, Artificial Intelligence or A.I. from 2001? A.I. tells the story of David (osment), a childlike Android, uniquely programmed with the ability to love. Today, AI tools are set to become key for businesses. You will use them to create revenue opportunities, increase operational efficiencies, improve customer service or boost productivity, and much more.

AI and ML helps create a prediction engine for a specific use case or business application that maximizes accuracy of predictions and minimizes errors. This is achieved as algorithms gain experience in a given context (as they get exposed to and more training data), and the feedback loops built in to the system.

ML can be beneficial for any application that involves prediction, such as medical diagnostics, image recognition, autonomous driving, predictive maintenance, voice assistants, etc. In the context of data science and analytics, AI and ML could be an effective augmentation of current tools and human intelligence, to generate insights from large volumes of data.

With AI and ML, the expectations and growth projections are vast. The confluence of physical and digital is changing the world. eg. Ge Power engineering plays across the entire engineering value chain and is looking to provide value across services, next-generation analytics, AI and digital.

WEITERE GESCHICHTEN VON DataQuest

DataQuest

DataQuest

Polyglot Persistence- Not just an exotic idea anymore

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too- and relational databases will stay but not in the same chair. Here's why?

time to read

5 mins

January 2026

DataQuest

DataQuest

Bright frogs, Monarch butterflies, Black-yellow bees and industrial automation- same thing?

As counter-intuitive as it may sound- Is automation a stupid loud colour to wear that attracts predators because of bigger attack surfaces or is it strangely-aposematic enough to tell the bad actors - stay away? Specially when security is baked in and bold- and ready for any camouflage? And what happens when Quantum and third-party supply chains make their way into industrial forests? We may not have all the answers but how about a purple-team approach to begin with.

time to read

3 mins

January 2026

DataQuest

DataQuest

How Nagarro bridges the gap between AI ambition and enterprise reality

Nagarro's Viyom Jain explains how ambition meets reality in enterprise AI, and why trust, culture, and human context matter as much as algorithms.

time to read

5 mins

January 2026

DataQuest

DataQuest

Food fraud, shortage and wastage – on the chopping block

Can, and how would, technology (like Blockchain, IoT, AI) help in bringing us food that is transparent, clean-labelled, free of stuff we don't really want and made as per one's own palate? Darshan Krishnamurthy, Co-founder & CTO, Khetika shows us the ingredient-section in detail.

time to read

4 mins

January 2026

DataQuest

DataQuest

AI is not Valyrian. It's the new English.

While it may still be too early for people to say 'Avy jorrāelan' to a technology that is affecting their jobs in more ways than one, it is better if we face our fears with clarity, caution and confidence. How does that advice play out in a function that, itself, decides who works and where?

time to read

6 mins

January 2026

DataQuest

DataQuest

Lou Gerstner, architect of IBM's turnaround, dies at 83

Arvind Krishna, IBM's CEO, confirmed in an official message to employees that Lou Gerstner, IBM's Chairman and CEO from 1993 to 2002, has died. He was 83.

time to read

3 mins

January 2026

DataQuest

DataQuest

India's third tech wave: Tech predictions 2026 through an impact lens

Post-Y2K scale and the 2010s cloud era reshaped Indian tech. In 2026, ΑΙ becomes the third wave, separating hype from outcomes, pivots, and trust.

time to read

4 mins

January 2026

DataQuest

DataQuest

Top Tech Predictions 2026: The Lighthouse View

Spoiler-alert first- there is nothing new or plot-changing that is visible on the 2026 horizon. But a lot of new and big ships would be building pace on the waves that were built last year. And, perhaps, in new directions.

time to read

9 mins

January 2026

DataQuest

DataQuest

Tata Communications' Andrew Winney on why SASE is now non-negotiable

Andrew Winney of Tata Communications explains why perimeter security is broken, how SASE enables Zero Trust at scale, and what CISOs must prioritise next.

time to read

6 mins

January 2026

DataQuest

DataQuest

Tiny AI: The new oxymoron in town? Not really!

So far everything about AI has been BIG! Huge hype, gigantic investments, massive bets and colossal infrastructures. Despite all that, there is talk about Tiny AI. Or shall we say, because of all that.

time to read

7 mins

January 2026

Translate

Share

-
+

Change font size