2023 data, ML and AI landscape: ChatGPT, generative AI and more

These well-crafted attacks developed with generative AI are creating new security risks. They can penetrate protective defense layers by exploiting human vulnerabilities, like trust and emotional response. Read how Proofpoint customers around the globe solve their most pressing cybersecurity challenges. Connect with us at events to learn how to protect your people and data from ever‑evolving threats. Get the latest cybersecurity insights in your hands – featuring valuable knowledge from our own industry experts.

“As an individual creator, AI can save me time in several helpful ways,” Gewirtz explains. “But it has the potential to be a much cheaper alternate solution to human-generated work and may well be used as a substitute by clients otherwise hiring creatives for a cheaper if somewhat lower quality solution.” Video creators can streamline their scriptwriting process using ChatGPT or another generative AI text tool to enter a prompt describing the video details they want to make. According to the Lightricks survey, 53% of creators use generative AI to create photo and video backgrounds, making this the most common use of AI among content creators. OpenAI has its own DALL-E 2, but many others range in quality, ease of use, and price. The content creator and ZDNET’s own David Gewirtz, who you may know from the YouTube channel, Advanced Geekery, detailed how he created images with MidJourney for an Etsy shop.

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Antler is looking for the next wave of visionary founders committed to using AI to disrupt industries and improve how we live, work, and thrive as individuals, organizations, and economies. For instance, a generative model trained on a dataset of images of faces might learn the general structure and appearance of faces then use that knowledge to generate new, previously unseen faces that look realistic and plausible. Although chat might be getting all the attention today, new APIs will make it easier to weave various generative AI capabilities into enterprise apps. “While people are using ChatGPT for many things, from coding software to bedtime stories for our children, it is the APIs that make ChatGPT possible that are so interesting,” PwC’s Greenstein said. With these APIs, any application — from mobile apps to enterprise software — can use generative AI to enhance an application.

generative ai application landscape

That did not go as well as it could have, with Bing threatening users or declaring their love to them. At the time of writing, there is a controversy in conservative circles that ChatGPT is painfully woke. In October 2022, CSM (Common Sense Machines) released CommonSim-1, a model to create 3D worlds. Bill Gates says what’s been happening in AI in the last 12 months is “every bit as important as the PC or the internet.” Brand new startups are popping up (20 generative AI companies just in the winter ’23 YC batch). There are a lot of nuances and a lot of discussions with smart people disagree on, well, just about any part of it, but here’s a quick overview.

Personalized financial services

The system learns the facial patterns from the images and can create a model, which you can name and generate new images following your prompts. This could enable you to create professional headshots without ever having to hire a professional photographer or capture the perfect Instagram influencer aesthetic without even looking at a camera lens. A new wave of AI tools has taken the world by storm and given us a vision for a new way of working and finding the information that can streamline our work and our lives. We show you the ways tools like ChatGPT and other generational AI software are making impacts on the world, how to harness their power, as well as potential risks. We’ll likely see a complete makeover in API discovery, the way people now find and secure data and programs. Companies will want their data and services to be found, since the cost of staying out of the new tech will be too high.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

generative ai application landscape

As the technology continues to advance, we can expect even more innovative uses for generative AI in business processes, revolutionizing industries across the board. With the help of chatbots, data analysis and deep learning algorithms, businesses can leverage this technology to create unique content customized to individual users. Generative AI technology has percolated across multiple domains over the last few years.

Unsurprisingly, the major cloud providers have the most comprehensive platforms for running generative AI workloads and preferential access to the hardware and chips. Specialized cloud challengers could gain market share, but not in the near future and not without support from a large enterprise seeking to reduce its dependence on hyperscalers. The generative AI application market is the section of the value chain expected to expand most rapidly and offer significant value-creation opportunities to both incumbent tech companies and new market entrants.

As these platforms become smarter, young savvy students will adopt them in their daily lives. How will this impact their academic work and how will their professors be able to identify if this is truly their work? The recent introduction of ChatGPT thrust generative AI into the limelight, raising public awareness of its potential for business, productivity and art. For developers who had been starved of access to LLMs, the floodgates are now open for exploration and application development. Machines can analyze a set of data and find patterns in it for a multitude of use cases, whether it’s fraud or spam detection, forecasting the ETA of your delivery or predicting which TikTok video to show you next. This can help you create communications that have a more conversational or consultative tone.

This enables companies to easily access computational power and manage their spend as needed. This content can be delivered in multiple modalities, including text (such as articles or answers to questions), images that look like photos or paintings, videos, and 3-D representations (such as scenes and landscapes for video games). Over the course of 2022 and early 2023, tech innovators unleashed generative AI en masse, dazzling business leaders, investors, and society at large with the technology’s ability to create entirely new and seemingly human-made text and images.

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As the underlying models continue to involve and improve, these tools will become more powerful—increasing both their applicability to legal work and their implications for existing law in the process. This will continue to be an issue as companies turn to retraining and fine-tuning their own models, rather than plucking models off the shelf. But as this occurs, new players will enter the field, offering cloud compute Yakov Livshits services powerful enough to scale, and more affordable in-house hardware that can get the job done. In the meantime, Oost says, the compute investment is worthwhile, because the returns that generative AI offer are significant. The challenge with real-time generation is that it requires significant guardrails — to keep a bot on message, for instance, and away from hate speech or completely imaginary answers.

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