Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! When it comes to artificial intelligence (AI) adoption, there is a growing gap between the haves and the have-nots. According to IBM, the global AI adoption rate went up by 4 percentage points in 2022, reaching nearly 35%. However, the study also found that the gap in AI adoption between larger and smaller companies also grew significantly in the past year.

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As organizations are continuously amassing large amounts of data amidst ongoing digital transformation, AIaaS presents an opportunity for those businesses to implement and scale AI and take advantage of all that analytics offers. Moving into 2022, the state of AIaaS is only growing as more organizations explore new AI advancements. AI APIs are software applications that businesses can use from third-party service providers. For example, conversational AI is a way for organizations to create conversational experiences that replicate human conversations using digital technologies. This helps to engage customers and assist sales and service representatives.

RPA is fast becoming the destination for efficient and more productive resources, what do you think is the future of human intelligence? Processes that are easily defined, repeatable and rules-based will all ultimately be automated. As to what happens to human intelligence – that's a great question with no short answer. As AI and cognitive computing continue to improve and expand, there will inevitably come an inflexion point, when the super-smart machine will surpass our mere mortal intelligence. The question I have is whether intelligence and knowledge may soon be ubiquitous and hence commoditized?

Software-as-a-service (SaaS) has become part of the tech lexicon since emerging as a delivery model, shifting how enterprises purchase and implement technology. A new "_" as a service model is aspiring to become just as widely adopted based on its potential to drive business outcomes with unmatched efficiency: artificial intelligence as a service (AIaaS). According to recent research, AI-based software revenue is expected to climb from $9.5 billion in 2018 to $118.6 billion in 2025 as companies seek insights into their respective businesses that can give them a competitive edge. Organizations recognize that their systems hold virtual treasure troves of data but don't know what to do with it or how to harness it. They do understand, however, that machines can complete a level of analysis in seconds that teams of dedicated researchers couldn't attain even over weeks.

Director of Data Science, CLARA analytics -- Ji Li has leadership responsibility for organizing and directing the CLARA data science team in building optimized machine learning solutions, creating artificial intelligence applications, and drivin… (show all) Ji Li has leadership responsibility for organizing and directing the CLARA data science team in building optimized machine learning solutions, creating artificial intelligence applications, and driving innovation. Dr. Li is well-published in fields related to computational theory and big data applications. His specific expertise and interests include machine learning, deep learning, text mining, and natural language processing and understanding. Dr. Li received his Ph.D. in mathematics from the University of Connecticut.

Picterra, a Swiss AI-based SaaS platform allows users to interactively create a personalized AI detecting, localizing and counting any objects from satellite and aerial imagery. The company aims to democratize geospatial mapping, and its platform bridges the gap between Earth Observation (EO) imagery, cloud processing and geospatial insights by commoditizing Machine Learning technology. From precision agriculture to utilities and infrastructure, Picterra serves a wide variety of clients and provides customized services. Its main partners are geospatial and UAV mapping professionals looking to derive insights and actionable information for specific verticals based off large or heavy EO imagery set. The Picterra platform allows users to seamlessly integrate cutting edge machine learning technology into their existing workflow, so they can focus on their core business while achieving quick return on investment.

According to a new market intelligence report by BIS Research titled'Global Artificial Intelligence (AI) in Agriculture Market Analysis and Forecast, 2019-2024', the artificial intelligence in agriculture market is estimated at $578.0 million in 2019 and is projected to reach $2,015.7 million by 2024. The market is expected to grow at a CAGR of 28.38% from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing need to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Browse More than 49 Data Tables and 129 Figures spread through 293 Pages and in-depth TOC on "Global Artificial Intelligence in Agriculture Market" Precision agriculture is a rising phenomenon in the farming industry since the past decade and has been adapted to improve crop yield to meet the global food demand. It involves the application of emerging smart technologies such as artificial intelligence in farming operations to reduce the wastage of resources with precise and variable application of agri-inputs.

The shockingly fast sell-out of the 2018 Neural Information Processing Systems (NIPS) conference put industry on notice: artificial intelligence is poised to break out of the hype cycle and become an important element in strategic business planning. A lot has been written about AI over the last year, but as the many papers and presentations from NIPS showed, much of what has been offered for public consumption has been superficial and, in some cases, misleading. AI is neither a simple panacea poised to solve all our business problems, nor is it a looming evil ready to usher in a dystopian future. It is a powerful tool that can aid decision making in a fast-moving, digital business climate--and there's ample evidence that it's already happening. Among the lucky few who were able to secure credentials to the conference, and as machine learning practitioners who have spent the better part of their careers involved with AI and machine learning, we came away with a look into the future of AI.

Artificial intelligence is poised to break out of the hype cycle and become an important element in strategic business planning. A lot has been written about AI over the last year, but much of what has been offered for public consumption has been superficial and, in some cases, misleading. AI is neither a simple panacea poised to solve all our business problems, nor is it a looming evil ready to usher in a dystopian future. It is a powerful tool that can aid decision making in a fast-moving, digital business climate--and there's ample evidence that it's already happening. As machine learning practitioners who have spent the better part of their careers involved with AI and machine learning, here is a look into the future of AI.