Transform, the world’s leading event on applied AI for enterprise business & technology decision-makers is expanding to a full week of activities. Transform Week will feature comprehensive coverage across the breadth and depth of the world of applied AI.
Hear from top industry experts on strategy and technology in the main application areas of AI/ML Automation Technology, RPA, data analytics, conversational AI, intelligent AI assistants, AI at the edge, IoT, computer vision, AR/VR, & robotics. Transform Week also features industry-focused vertical tracks, which include case studies and insights from healthcare, finance, retail, manufacturing & security.
In this AI/ML Automation Technology summit day, we will explore the growing trend of automation in various disciplines within AI & ML ranging from data collection & preparation, feature engineering, model selection, data labeling/annotation, model training & hyperparameter optimization. We will explore how these automation technologies will change the role of data science teams and how they can co-exist to deliver better applied AI solutions. We will dive deep into the role of data in AI and how enterprises can collect high-quality data using both traditional methods of building their own datasets and leveraging alternative automation strategies such as using synthetic data or crowdsourcing the data to build high-quality AI while addressing issues such as privacy, bias, fairness, and trustworthiness of the data. We will learn about case studies from healthcare, finance, security, and retail that deal with AI applications such as user personalization, sales & marketing acceleration, financial fraud mitigation, cybersecurity enhancement, and more.
In this Data, Analytics, & Intelligent Automation summit day, we will explore the evolution of RPA from delivering tactical, point solutions to the promise of strategic, enterprise-wide, hyper-automation. We will discuss the ins and outs of how to deliver the most impactful RPA by optimizing your business processes before automating them — and also cover where RPA is headed, including the infusion of AI. We will look at the role of data analytics and how it has transformed and empowered business decision making. We will talk about how the world has come to rely on data and data analytics to generate better and more informed outcomes for all its constituents. We will learn about case studies from manufacturing, healthcare, finance, and retail that deal with AI applications such as automating patient health alerts and recommendations, automating manufacturing processes, data-driven, personalized risk underwriting, retail consumer buying pattern prediction, fraudulent insurance claim identification, and more.
One of the most common use cases of applied AI is in the form of conversational AI or intelligent AI assistants used primarily to facilitate enterprises to serve their customers at scale more efficiently and through support from the call center. Conversational AI and intelligent AI assistants are being leveraged by organizations across the board in the form of text chatbots, and voice assistants which use NLP/NLU to look beyond rules to truly understand intent, carry out a multi-turn conversation while retaining context and deliver a great user experience. Companies have made several recent advances in terms of leveraging big data to deliver highly personalized and relevant content and integrating all their systems to ensure a seamless and delightful experience for the user.
As conversational AI advances and AI assistants become more and more intelligent and human-like, we will discuss how we can analyze, train and sensitize AI natural language to make it explainable, fair, and free of gender and racial stereotypes and biases. We will learn about case studies from finance, manufacturing, healthcare, retail, and security that deal with AI applications such as financial robo-advisors, personal healthcare assistants, personalized voice-enabled retail shopping assistants, security strategies to make hacker-proof virtual assistants, and more. Hear from industry-leading practitioners and luminaries who will talk about their journeys and learnings in implementing these technologies, how they unlocked value/ROI from them, and their thoughts about what the future holds.
As more and more IoT devices enter our lives and AI becomes omnipresent, the need to deliver AI at the edge of the network i.e. either on the device or in close proximity to the device becomes critical to improve performance by processing the data at the edge rather than sending it to the cloud. Edge computing also offers the advantage of keeping the data local and hence more secure.
IoT devices and edge computing along with rapid advances in computing power are creating an ecosystem that can deliver powerful AI business applications that were hitherto unthinkable. At the VB Transform AI at the Edge & IoT summit, we will discuss various topics such as ensuring greater user privacy, enabling lower latency, enabling better search and personalization, enabling and accelerating automation, delivering real-time intelligence, etc.
We will learn about case studies from manufacturing, retail, and security that deal with AI applications such as self-monitoring factories with machines that can schedule their own predictive maintenance, edge AI-powered IoT devices that are making retail showrooms super-efficient and effective, security strategies to make edge AI nodes hacker-proof, AI-enabled IoT devices for ubiquitous e-commerce, autonomous, self-driving vehicles running AI on the vehicle and more.
Ever since the advent of deep learning neural networks, computer vision-based AI technology with myriad applications in software as well as in AR/VR & robotics has seen exponential growth, enabling business applications that were hitherto in the realm of science fiction. This technology promises to take humankind rapidly towards the future and change the way we view our world. Today, aerial drones equipped with computer vision can analyze both pictures and videos and keep us safe, whether it is in our homes or on the battlefield. Robots equipped with this technology have applications in healthcare, security, manufacturing, retail among others. Similarly, AR/VR technology is set to transform our shopping experiences or take gaming to the next level. On this computer vision, AR/VR & robotics summit day, hear from industry leaders who will talk about their journeys and learnings in implementing these technologies, how they unlocked value/ROI from them, and their thoughts about what the future holds.
Chief Technology Officer, Intuit
Chief Technology Officer, eBay
Chief Technology Officer, Twitter
Chief Customer Officer, Dataiku
Chief Information Officer, Adobe
Chief Scientist, Uber
Chief Data & Analytics Officer, Chase
Vice President of Data Science, Yelp
Senior Director of AI SW Products, Intel