Generative AI has continued to grow rapidly in 2023, with increasing interest from organizations and individuals looking to create realistic and personalized content using artificial intelligence. However, there are several challenges facing the widespread adoption of generative AI, including the difficulty of sharing custom retraining models, the complexity of running open-source models, and the lack of mechanisms to incentivize model creators. In this report, we will provide an overview of the current state of generative AI, its key trends, challenges, and opportunities. Generative AI refers to the use of artificial intelligence to generate new content, such as images, text, or music. Generative AI has the potential to revolutionize the creative industries, enabling organizations and individuals to produce high-quality, personalized content at scale. However, the development and deployment of generative AI models pose several challenges, including technical, legal, and ethical issues.

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. This year we will continue to see changes in the tech industry. As we have been preparing for a fundamental in how we work, technology plays a major role in how employees and companies can operate better, smarter, more efficiently and more productively. More than that, tech is a key player in how employees can connect with one another to create a truly collaborative work environment. There are three major areas where we will see a shift across tech.

The unprecedented changes witnessed globally in the recent past have transformed the way we think, interact, and work. Enterprises across the globe are going through cultural and structural shifts that requires them to reimagine and restructure their business processes. New Age technologies such as AI, ML, cloud, with their ability to connect processes, data, and people are revolutionizing the work culture. In such a scenario, enterprises need to reshape their operating models to accommodate this transition. Here are the five trends that are impacting the future of work globally.

Key trend #1 -- Migration to the cloud will accelerate, although the rising scale of cloud costs will become increasingly scrutinized by finance types as the economy tightens. Organizations will struggle with hybrid and multi-cloud architectures. Watch for new and innovative pricing schema to help combat the rising costs (e.g., fee caps and fixed fee). The flexibility and scalability the cloud offers to organizations. Cloud computing allows companies to easily add or remove resources as needed, without having to invest in expensive hardware and infrastructure.

Businessman draws increase arrow graph corporate future growth year 2022 to 2023. The year 2023 is set to be revolutionary for technology, with many disruptive trends expected to reshape how businesses function and how people interact with each other. From metaverse-based virtual workspaces, advancements in quantum computing and green energy sources to innovations in robots and satellite connectivity – here's a look at the technological trends that could define the coming year. According to BCG's "Mind the Tech Gap" survey, a majority of businesses across 13 countries plan to increase their spending on digital transformation in 2023 vs. 2022. The top two areas for future investments are business model transformation and sustainability, with respondents expressing concern over the uncertain return on investment from digital transformation initiatives.

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Machine learning (ML) has undergone rapid transformation and adoption in recent years, driven by a number of factors. There is no shortage of opinions about why artificial intelligence (AI) and ML are growing. A recent report from McKinsey identified industrializing ML and applied AI as among its top trends for the year. In a session at the AWS re:Invent conference this week, Bratin Saha, VP and GM of AI and machine learning at Amazon, outlined the six key trends the cloud giant is seeing that are helping to drive innovation and adoption in 2022 and beyond.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Artificial intelligence (AI) is a foundational catalyst for digital business, according to a new report by Gartner. The last 10 years represent a breakthrough period in AI's development, spurred by the convergence of factors including the rise of big data, advancements in compute infrastructure, new machine learning techniques, the emergence of cloud computing and the vibrant open-source ecosystem. In evaluating the trends that will shape the future of AI in the enterprise, there are five trends that Gartner sees as being the most significant. Technology leaders must harness these emerging AI trends to democratize and foster its responsible use, adapt composite techniques, leverage AI for real-time analytics at the edge and exploit its generative powers.

Machine learning, a subfield of artificial intelligence in its most straightforward description, spans a broad set of algorithms used to extract …

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) is a foundational catalyst for digital business, according to a new report by Gartner. The last 10 years represent a breakthrough period in AI's development, spurred by the convergence of factors including the rise of big data, advancements in compute infrastructure, new machine learning techniques, the emergence of cloud computing and the vibrant open-source ecosystem. In evaluating the trends that will shape the future of AI in the enterprise, there are five trends that Gartner sees as being the most significant. Technology leaders must harness these emerging AI trends to democratize and foster its responsible use, adapt composite techniques, leverage AI for real-time analytics at the edge and exploit its generative powers. Democratized AI will make AI accessible to a wide set of users.

There are a lot of great books being published these days on the subject of artificial intelligence, as human authors attempt to tackle the technical, philosophical, and societal challenges posed by our growing reliance on smart machines. One I have recently enjoyed and also found highly thought-provoking is Radically Human: How New Technology is Transforming Business and Reshaping our Future, by Paul Daugherty. Regular readers of my posts will know that Daugherty is CTO at Accenture, and in fact I recently enjoyed a wide-ranging conversation with him on the topic of the Metaverse Continuum – Accenture's top four tech trend predictions for 2022. While we were together (virtually), I also took the opportunity to talk to him about this latest book. It aims to explain many of the cutting-edge technologies that are revolutionizing business today – from AI to blockchain and the metaverse – but crucially to do it in a way that highlights the roles that humans will have to play if organizations hope to use them to their full potential.