Mine the insights of IT decision makers for crucial product management and marketing direction by joining ESG in an upcoming ML/AI research project.
Artificial intelligence, machine learning, deep learning. Throughout the spring and virtually every trade show, we've heard the terms. We've been told if you don't ramp up your AI, ML, and DL initiatives, you'll be behind the competition. ESG already has data that shows organizations deem their AI/ML strategies as being critical to their business's success. We know that those who are already on the AI/ML path are depending on the technology to deliver significant business outcomes. And we also know there are massive challenges in the way preventing more organizations from adopting the technologies: infrastructure complexity, lack of expertise, inefficiency, and high cost.
So what's next? What needs to be done? What steps should you take as a vendor who's offering products, solutions, and services in the space? With that in mind, ESG is fielding sponsored research to gain key insights into the progress of early adopters, remaining hurdles, and anticipated benefits in order to comprehend the state of the AI/ML market. We'll look at the ideal infrastructure based on specific use cases or verticals, investigate if and where cloud or on-premises solutions are best suited, find out where there are current gaps, determine current and future budget allocation for AI/ML, and understand what's preventing organizations from meeting their AI/ML goals.
We'll investigate the personas involved across the various aspects of AI/ML initiatives and pipelines, from evaluation and purchasing to deployment, usage, and management. We'll look to document current AI/ML workflow allocation to better understand how to optimize the processes between data engineers and data scientists. What needs to be done to empower data engineers and data architects to do more while alleviating the burden currently on the data scientists who are already spending time on tasks far outside of their job descriptions.
So why sponsor this research? If AI/ML factors heavily into your 2018 and beyond plans, this research can help you answer key questions where your organization may be making assumptions. This could benefit your product management, product marketing, content and campaign marketing, as well as drive material for sales enablement and education to executives in the market. All sponsors can influence the questions as well as ask some of their own. This will provide you with the data you need to better address the emerging and rapidly growing AI, ML, and DL market.
If you'd like to learn more or are interested in sponsoring this research, contact us today.