Top 5 Stories of the Week: Advances in Creative AI, AIops, Web3 and Tech Spending

Artificial intelligence continues to be the focus in the industry. With developments that transform simple text prompts into images, videos and even 3D animations – this technology opens up enormous creative potential.

Some of the excitement around innovative AI has even come as a surprise to Dave Rogenmoser, CEO of Jasper, one of a number of companies currently using the “text-to” space. He believes that innovative AI will “impact every tool available” as its use continues to grow.

Although many players are participating in the innovative AI race, one thing they have in common is the use of diffusion model – can enhance the creative output of technology.

At the other end of the AI ​​spectrum is news from Red Hat and IBM. The two announced plans this week to continue automation and AIops through an open source project. The companies claim this is the first project to create intelligent NLP capabilities for Ansible and IT automation.

Another partnership hit the tech scene this week – a partnership between Equifax and Oasis Labs. Both have collaborated to use blockchain technology for verification Web3 identity, which some say can add credibility to the Web3 ecosystem as a whole.

All of this week’s news is underlined by a recent survey from Battery Ventures showing that despite the economic downturn, 54% C-suite executives say they still plan to expand their tech budgets for next year.

Here’s more from our top 5 tech stories of the week:

1. Red Hat and IBM team up to advance AIops with an open source projectRed Hat has new plans for Ansible with its other initiative, the Mind Project. The company is aiming to take automation to the next level with IBM Research. Red Hat, owned by IBM, refers to Project Intelligence as the first community project to create intelligent, natural language processing (NLP) capabilities for Ansible and the IT automation industry.

   Tom Anderson, VP and GM of Red Hat’s Ansible Business Unit, says the future of Project Wisdom is what he sees as “real AIops where decisions are made and decisions about content and automation are made.” generated in real time using AI.”

2. Jasper CEO says

   For Dave Rogenmoser, CEO of AI content platform Jasper — which raised $125 million in funding last week — the level of enthusiasm around creative AI is surprising. Jasper’s announcement comes just a day after Stability AI, the company that developed the Stable Diffusion text-to-image generator, announced it had raised $101 million.

   “I didn’t know Stability was going to announce on Monday – and then our inclusion in that thing definitely added value to the whole market,” he said.

   But Rogenmoser says hype aside, creative AI – describes artificial intelligence that uses unsupervised learning algorithms to generate digital images, video, audio, text or code – not flash in the pan.

3. Oasis Labs and Equifax turn to blockchain for Web3 user identity verification

   This week, private blockchain provider Oasis Labs announced a partnership with Equifax to co-develop a ‘know your customer’ (KYC) Web3 solution that will provide identity management and verification solutions. blockchain for companies adopting this new iteration of the Wide Web.

   The partnership between Oasis and a well-known legacy finance provider like Equifax has the potential to add new credibility to the Web3 ecosystem and this new identity verification service.

   Dawn Song, founder of Oasis Labs said: “We are working hard not only to build a better and more efficient decentralized and decentralized KYC solution, but also to help accelerate Web3 adoption and bring more confidence in the industry.”

4. How diffusion models open up new possibilities for joint creativity
   
   Artificial intelligence (AI) models continue to gain popularity and recognition. The emergence of text-to-text architectures is driving this adoption even further, with popular AI models like Google’s Imagen Video, Meta Make-A-Video, and others like DALL- E, MidJourney and Stable Diffusion.

   A common denominator among all common AI architectures is the use of a method known as diffusion modeling. Using diffusion models for creative AI can assist in leveraging a number of unique capabilities, including diverse image generation and text rendering in different art styles, 3D comprehension, and animation. .

5. Report: Spending on technology is growing strongly, although priorities are changing
   
   A recent survey from Battery Ventures of 100 tech buyers across industries found that while companies are changing their tech buying habits, their overall budgets aren’t going down. In fact, most budgets are expanding or will continue to expand over the next year and beyond.

   Despite the ongoing economic uncertainties, the majority of CXOs – 54% – plan to increase their total technology budget over the next year.