Future of AI and ML for Businesses Summit (2nd Edition) 2023 | Group Futurista | 6 September 2023 | New York City (NYC), USA

As we look to the future of business, one thing is clear: artificial intelligence and machine learning are poised to play an increasingly important role in our operations. With the rise of big data and the growing need for businesses to make data-driven decisions, AI and ML will be crucial tools in our arsenal. But are you ready to discover the future of AI and machine learning in business? Our panel of experienced speakers will be discussing a variety of topics, including the latest trends and advancements in AI and ML, the ethical considerations businesses need to keep in mind when implementing these technologies, and how to optimize data-driven decision-making for better business outcomes. You'll also have the opportunity to network with other business leaders and industry experts and gain valuable knowledge that you can apply to your own organization.

Why Attend:
• Innovative keynotes delivered by the industry's true heavyweights, covering practical challenges and subjects which are exclusively entailed in our agenda. Gain subject matter expertise, network, and collaborate to explore solutions that shed light on future business models impacting revenue inflows.
• It is a dedicated platform for Startups and VCs. We offer industry-specific startups a showcasing opportunity, enabling them to connect with corresponding VCs and Mentors. A win-win dynamic is created to attain the desired exposure for startups who are looking forward to scaling up their businesses.
• A smart application will help you connect with key decision makers, share files, brainstorm ideas, and have a seamless networking experience. A comprehensive module covering the entire event, compiled for training purposes, to be made available post-conference, exclusively for the attendees.

Who Should Attend:
CXO, VP, Director, Head, Manager & Specialist of :
• Data Science
• NLP
• Artificial Intelligence
• Machine Learning Ops
• Big Data
• Technology
• Data Analytics
• AI & Engineering
• Decision Intelligence
• Data Innovation
• Real-Time Decision Intelligence
• Augmented Intelligence
• Data Engineering
• Business Intelligence Platforms
• Data Visualization Engineering
• Cloud & Data Analytics
• Data Engineering & Governance