2023 – Technology blurring the lines

2023 – Technology blurring the lines

Despite political and economic uncertainty, technology investment is predicted to grow significantly this year

Creating stunning images from our dreams, writing poems, scripting codes, discovering new drugs, disrupting millions of jobs – the new year has begun with aclap of thunder that’s reverberating around the worldas artificial intelligence goes mainstream. ChatGPT, DALL-E and scores of other generative AI (artificial intelligence) bots have stormed into everyday use. For the first time we are letting machines think for us; a turning point in the history of humankind. We are using these Large Language Models (LLMs) to create images, music, content, video, and even writing codes from instructions given in plain English.

And it is even being used to explore our dreams!Yes, you heard it right. Google’s DeepMind used generative AI to create its Deep Dream program, which was used in its Dream Quest app for iOS devices. This app allowed users to explore their dreams using existing technologies (such as Google’s TensorFlow) and generate new art based on those dreams. The result was a striking collection of images that people had never seen before!

It has triggered an arms race between Microsoft, which has invested heavily in OpenAI, the pioneer in generative AI tools, and Google the search engine behemoth, which sensing a major threat is coming out with its own AI bot, ‘Sparrow’ from DeepMind, its AI subsidiary, to retain its lead in this space.

AI passes the Turing Test

For more than 70 years, computer scientists have struggled to build technology that could pass the Turing test: the technological inflection point where we humans are no longer sure whether we are chatting with a machine or a person. The test is named for Alan Turing, the famed British mathematician, philosopher and wartime code breaker who proposed the test back in 1950. He believed it could show the world when machines had finally reached true intelligence. ChatGPT has already passed this test.

The Impact on IT Skills

This will have a serious impact on IT skills. We are already witnessing organizations laying off large number of employees, while at the same time increasing investment in automation technologies that are writing codes, fixing bugs, and carrying out a host of functions that earlier humans did.

It will upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images.

At the same time researchers are working on purposing this technology to help doctors identify diseases more quickly than traditional methods (such as using MRI scans), get drugs quickly from the labs to the market. Generative AI has the power to create new forms of art, literature, music and cinematic works that are indistinguishable from reality. It can create new worlds, new universes and even new realities that are indistinguishable from our own. Itis going to be used for everything from writing novels to creating new forms of art like interactive installations and virtual reality games.This is both an opportunity and a disruption as well. Opportunity for those who know how to master the use of this technology, and disruption for those who feel overwhelmed by it.

AI investment rises

Despite political and economic uncertainty in 2023, technology investment is predicted to grow significantly, underlining a common belief that the world’s greatest innovations have been born in times of great economic and political stress.

The AI industry will be worth $93bn in 2023, up 12% from 2022, according to GlobalData’s 2023 TMT Predictions. AI has been one of the most anticipated of emerging technologies as it has the ability to greatly accelerate and enhance other technologies including robotics, quantum computing, the internet of things (IoT) and automation driven by robotics.

The rise of robotics & no-code

The robotics industry was valued at $45.3bn in 2020 and is expected to grow at a CAGR of 29% to $568bn by 2030, according to GlobalData research, which adds that rising inflation, supply chain disruption and the Ukraine conflict are fuelling the automation revolution. The service robot market will generate $55.2bn of revenue in 2023, according to GlobalData forecasts. Use cases will include warehouse robots, which will proliferate in 2023 and beyond, as well as autonomous delivery robots and commercial drone delivery. GlobalData forecasts that the global drone market will reach $24.5bn in 2023, supported by regulations, advances in technology such as AI and an increase in beyond-visual-line-of-sight operations. Challenges to the sector will include rising energy costs and supply chain fragility, just as production targets begin to rise.

Companies are now turning to low-code platforms as an effective way to increase their competitive edge while reducing overhead. Major tech giants, such as IBM Cloud with Mendix, Google Cloud Platforms’ App Maker and Microsoft’s PowerApps have tapped into this trend by offering cutting-edge solutions designed for quick results at a fraction of the cost of traditional programming languages. The adoption of Low Code Development Platform Market is expected to increase at a CAGR of 28.4% during the forecast period. The Low Code Development Platform market size is anticipated to rise from US$ 21,363.5 Million in 2023 to US$ 259,922.1 Million in 2033, per a Future Markets insight.

Know more about the syllabus and placement record of our Top Ranked Data Science Course in KolkataData Science course in BangaloreData Science course in Hyderabad, and Data Science course in Chennai.


© 2023 Praxis. All rights reserved. | Privacy Policy
   Contact Us
Praxis Tech School
PGP in Data Science