Sam Giambrone on LinkedIn: The Generative AI Market Map: 335 vendors automating content, code
They help simplify data discovery from complex data sets, insight generation and cross-functional collaboration around data. Generative AI is revolutionizing the way we live, work, and interact with the world around us. By creating content, designs, and solutions never before imagined, these intelligent systems are breaking barriers and opening up new possibilities in countless industries. From art and music to business and science, generative AI is reshaping our understanding of creativity and innovation, propelling us into a bold new age of discovery and progress.
IMARC was a good solution for the data points that we really needed and couldn’t find elsewhere. The team was easy to work, quick to respond, and flexible to our customization requests. The generative adversarial networks (GANs) segment is expected to dominate the generative AI industry with a CAGR of 23.1% from 2022 to 2033. With that in mind, this new application is called to make 3D artists’ lives easier, allowing them to set up 3D maps accurately and faster to focus on designing hero 3D graphics –the main graphics in immersive environments. It also clarifies that 3D modeling is one of the media formats generative AI seeks to conquer next.
Democratized and Agile Research at Scale with Generative AI
We see the benefits of open finance first hand at Plaid, as we support thousands of companies, from the biggest fintechs, to startups, to large and small banks. All are building products that depend on one thing – consumers’ ability to securely share their data to use different services. The other categories — the boxes on our landscape that are relatively sparse now — I don’t Yakov Livshits think they’re gonna be sparse for long. When I first put out our blog post about how the tech and how the different pieces of technology are becoming ready, I thought 3D, video, bio, they were going to take longer based on some conversations. Basically everyone wrote in to me like, “You’re wrong, this stuff is happening way faster than you think it is.” And they were right.
With the democratization of AI, bad actors will also have easier access to this technology, leading to increased and improved phishing attempts and adaptive cyber-attacks. In the insurance industry, it’s important to understand how generative technology can be used to create false images and documentation for fraud. Companies are already starting to build tools to combat bad actors, such as SlashNext, which is Yakov Livshits leveraging generative AI to combat and defend against advanced business email compromise. A hallmark of the last few years has been the rise of the “Modern Data Stack” (MDS). Part architecture, part de facto marketing alliance amongst vendors, the MDS is a series of modern, cloud-based tools to collect, store, transform and analyze data. At the center of it, there’s the cloud data warehouse (Snowflake, etc.).
As a result, it is widely employed across several industries, such as healthcare, IT, robotics, and BFSI. As per FMI’s generative AI market opportunity map, China is anticipated to reach a market share of US$ 19.4 billion, moving at a CAGR of 30% during the forecast period. The generative AI industry in China is expected to grow prominently due to the availability of diverse and abundant datasets, which is crucial for effectively training generative AI models. As individuals and businesses in China explore opportunities in automated content generation, they require reliable and fast platforms to fulfill the industry requirements. Images speak to us so viscerally, and so they’re a lot more fun to share on Twitter than whatever GPT-3 could spit out for me.
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.
In many cases, it may actually enhance the work of creatives by enabling them to create more personalized or unique content, or to generate new ideas and concepts that may not have been possible without the use of AI. Artificial Intelligence (AI) is a broad term that refers to any technology that is capable of intelligent behavior. This can include a wide range of technologies, from simple algorithms that can sort data, to more advanced systems that can mimic human-like thought processes. The capabilities of generative AI extend far beyond simple text and audio generation. Generative AI solutions are increasingly adopted across various industries, particularly the information technology and industrial sectors. This specifically includes the software subsegment under information technology and the professional services subsegment under industrials.
This McKinsey study from December 2022 indicates that 63% percent of respondents say they expect their organizations’ investment in AI to increase over the next three years. For a while in 2022, we were in a moment of suspended reality – public markets were tanking, but underlying company performance was holding strong, with many continuing to grow fast and beating their plans. Since then, of course, the long-anticipated market turn did occur, driven by geopolitical shocks and rising inflation. Central banks started increasing interest rates, which sucked the air out of an entire world of over-inflated assets, from speculative crypto to tech stocks. Public markets tanked, the IPO window shut down, and bit by bit, the malaise trickled down to private markets, first at the growth stage, then progressively to the venture and seed markets.
By expanding credit availability to historically underserved communities, AI enables them to gain credit and build wealth. Companies can also create carefully refined marketing profiles and therefore, finely tune their services to the specific need. Open Banking platforms like Klarna Kosma also provide a unique opportunity for businesses to overlay additional tools that add real value for users and deepen their customer relationships. We advocate for modernized financial policies and regulations that allow fintech innovation to drive competition in the economy and expand consumer choice.
Jun 14 Data-enabled Discovery Path Tracking
For whoever was around then, the experience of first interacting with ChatGPT was reminiscent of the first time they interacted with Google in the late nineties. 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). As an example, transformation leader dbt Labs first announced a product expansion into the adjacent semantic layer area in October 2022. Then, it acquired an emerging player in the space, Transform (dbt’s blog post provides a nice overview of the semantic layer and metrics store concept) in February 2023. Some slightly smaller but still unicorn-type startups are also starting to expand aggressively, starting to encroach on other’s territories in an attempt to grow into a broader platform.
An example is the different approaches that OpenAI and Tabine took to building code-generation models. Which of these approaches will succeed depends on the progress of large-scale foundation models. However, the fancy images that we see online are not representative of all AI-generated visuals.