Nearly 10 years later, Dataiku is helping to operationalize AI across a range of business use cases, from fraud detection and customer churn prevention to predictive maintenance and supply chain optimization. If the final destination is weaving AI capabilities so thoroughly into the fabric of day-to-day work that people forget it's there, enterprises are typically somewhere in the middle of the journey, Douetteau says. To get there, they should look inward. In this "AI From the Front Lines" interview, Douetteau and Romain Fouache, Dataiku's chief revenue officer, speak with Beena Ammanath, executive director of the Deloitte AI Institute, about their vision of AI in the enterprise, the importance of building systemization and trust for AI, and how execution will be more important than innovation in democratizing the technologies. "It's not a technology issue--we can build platforms able to continually process and enhance data and build new AI on top to optimize business processes," Douetteau says.

Thank you for joining us in broadening awareness of the consequences caused by the underrepresentation of women in AI. There are two important messages that we are attempting to voice through this effort. First, we are seeing a surging demand for AI talent. However, at least one talent pool that could help businesses achieve their AI ambitions has remained largely untapped--women! This brings us to the second message. Unlocking the potential of women to close the AI talent gap can also help us fix one of the greatest shortcomings of AI.

Beena Ammanath, Executive Director of the Global Deloitte AI Institute, discusses the challenges – and potential – in creating an ethical …

Does the torrid pace of investment in AI create challenges for the development of an ethical practice in this emerging technology? I spoke with Beena Ammanath, Executive Director of the Global Deloitte AI Institute, about the challenges – and potential – in creating an ethical framework for the development of artificial intelligence.

Now senior director for AI and legal ethics at NVIDIA, Pope spends her days working with internal teams across the company to ensure its products engender trust across industries. In a recent "Solving for Tech Ethics" podcast, Pope joined Beena Ammanath, Deloitte LLP's Trustworthy and Ethical Technology leader, to discuss the challenges and opportunities associated with creating trustworthy AI. Ammanath: Five or 10 years ago, roles like yours just didn't exist. What does a day in your job look like? Pope: One day does not look like the next. Take yesterday as an example.

Throughout my career as an adamant supporter of AI and AI for good, I've had the privilege of getting to know, interact with, and absorb ideas from a wide range of people. As part of my 10-Part Series of The 9 Inspirational Women Leaders In AI Shaping The 21st Century, I was honored to converse with Beena Ammanath, Executive Director of the Global Deloitte AI Institute. Beena is a recognized thought leader in AI and is an evangelist for AI's responsible and ethical use. In this interview, we discuss various topics, including the future of AI, the role of women in AI, and the potential impact of AI on society. We also touch on the importance of ethical considerations in developing and implementing AI technologies.

Separating AI hype from reality is not always easy. Yes, AI capabilities are evolving quickly, but translating that into real-world business benefits can be hard. Now Deloitte is stepping up with a guide to help buyers navigate the sometimes-tall claims of AI startups. You've likely been subjected to a pitch from a vendor selling an AI product or services that sounds too good to be true. It leaves you wondering: Can the AI really do that?

People from mathematically driven disciplines--that might mean chemistry or music majors--can be perfect for data science or engineering. We have also--no surprise here--applied AI to the problem, using a skills inference engine to unearth employees with data science aptitudes. You really need a full spectrum of capabilities to take AI solutions to market. Then there's what happens after deployment. Our latest "State of AI in the Enterprise" survey points out that awareness of AI's risks has grown along with its usage.

I had the honour in early December to participate in an Interzone/Politik Video production with AI leaders: Danny Lange, Chief Data Scientist (CDS), Unity 3D, former CDS of Amazon, and Uber, Beena Ammanath, Executive Director of Deloitte's AI Institute Artificial Intelligence, hosted by John Koetsier where we explored a number of questions about how AI is leading to the fundamental reengineering of all aspects of our human experience, how we as a species interact with AI, and the implications of advancing our world without serious reflection on the type of world we want to build for future civilizations. The conversation we had allowed us to share our views, experiences, concerns and hopes for the New Year for a global society to think more deeply about the future world we want to create - together where AI is used for more good than harm. We have come together to fight Covid-19 and AI was a key enabler to bring to market vaccines, in unprecedented clinical trial R&D timeframes, to eradicate this virus, and help us get back to a more interactive global community where we can freely travel, visit our favourite restaurants and shop with more access in our local retailer stores. This is an excellent example of AI being used for good. However, much of AI in large global data sets are full of inequalities, incumbencies and biases of the innovators designing AI which have a direct impact on how the technology guides human information, perception and action.

Deloitte announced the launch of the Deloitte AI Institute, a center that focuses on artificial intelligence (AI) research, eminence, and applied innovation across industries. The Institute will bring together the brightest minds in the field of AI to apply cutting-edge research to help address a wide spectrum of relevant AI use cases. "The Deloitte AI Institute is being established to advance the conversation and development of AI for enterprises," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "Our goal is to blend Deloitte's deep experience in applied AI with a robust network of some of the most intelligent AI minds in the world to challenge the status quo. Through the power of this center, we aim to deliver impactful and game-changing research; and innovation to help our clients lead in the'Age of With,' a world where humans work side-by-side with machines."