A great way to get started with AI art is to explore different prompts. Prompts are what you use to describe the image you want to create, and they include lots of different information, from specific artist names and art styles to using pop culture icons and exploring fantasy scenes. Try using the prompt ideas listed below, then experiment with replacing the keywords with different ideas of your own. Soon enough you will get the hang of how to create unique AI art using your own original prompts. Referencing the masters of art history is a great place to begin if you are stuck for ideas.

"When you start looking at connecting points, those intersections across the different siloed data collections and siloed departments, you might just be amazed at what you could discover." Most businesses have siloed departments that are pursuing digital transformation independently, creating "islands of innovation" throughout the enterprise. This episode discusses how to unify these efforts into a cohesive strategy to develop an intelligent enterprise. What could your business do if you had total control over your data? In NASA's case, a data transformation is what made the Hubble telescope and countless other amazing discoveries possible. Our guest this episode, Kirk Borne, was there when it happened. He began his career as an astrophysicist, combining datasets from multiple fields in unprecedented ways. Now Kirk's work is more down to earth. In this episode, he shares how businesses can "democratize data" across the enterprise. And he explains how data transparency plus intelligent analytics can lead to new efficiencies, better customer experiences, even entire new business models. "The key is this concept of the culture of experimentation, that you allow people to experiment with data." Kirk Borne is a Principal Data Scientist and Executive Advisor at Booz Allen Hamilton.

Imagine a world where you can detect issues early and can use that information to make changes that are beneficial for everyone? What if that was possible now? Thanks to Ken Ferry, the CEO of iCAD, there is no need to wonder. Ken and his team have developed innovative technology that detects cancer at an early stage and offers therapy solutions that provide non-invasive treatment for patients. Tamara: Can you share a story that inspired you to get involved in AI? Ken: What inspires and excites me the most about AI is the fact that this innovative technology has the ability to protect and preserve life through the collaboration between technology and medical science.

He is the founder, CEO, and lead designer of SpaceX; co-founder, CEO, and product architect of Tesla, Inc.; and co-founder and CEO of Neuralink He was ranked the No. 1 global FinTech influencer and the No. 2 InsurTech influencer by Onalytica. He is a senior advisor at Arbidex, Glance Technologies, Datametrex AI, kapilendo.de, She is the director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Since age 15, the main goal of professor Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. His lab's Deep Learning Neural Networks (since 1991) such as Long Short-Term Memory (LSTM) have revolutionised machine learning, and are now available to billions of users through the world's most valuable public companies, e.g., for greatly improved speech recognition on over 2 billion Android phones, greatly improved machine translation through Google (since 2016) and Facebook (over 4 billion LSTM-based translations per day as of 2017), Apple's Siri and Quicktype on almost 1 billion iPhones (since 2016), the answers of Amazon's Alexa, and numerous other applications.

We are very excited to be hosting the world renown Tamara McCleary, international technology futurist, emerging technology guru, sci-fi writer, marketing digital strategy consultant and Thulium CEO. Tamara is ranked in the Worlds Top 5 in Artificial Intelligence, Robotics and Internet of Things (IoT), the WorldsTop 15 Machine to Machine (M2M), the Worlds Top 50 Blockchain, Digital Transformation and Big Data. Tamara is rank in the Top 1% of Global Social Media Influencers (Klear) and listed as one of the Top 50 Social Influencers of 2015, 2016, 2017 (Onalytica). Tamara was named Number 1 Most Influential Woman in MarTech (B2B Marketing) and ranked the 2nd most mentioned person on Twitter by Chief Marketing Officers (LeadTail). Tamara is an IBM Futurist and creator of the trademarked RelationShift method.

Artificial Intelligence is the hottest buzzword in the tech industry. There have been a lot of predictions and speculations on how AI is going to take the world by storm. What is your prediction on how AI will impact the enterprise workplace? A quick note: The opinions of all the experts are their own. Acuvate doesn't share or have any comment on any of their views/opinions.

This post is part of our Cognitive College series where the industry's brightest minds explore different ways cognitive will revolutionize the way that we work and engage with customers. For decades, when one thought of the future, they thought of intelligent, thinking machines, be it Robby the Robot from Lost in Space, supercar KITT from Knight Rider, or the human-appearing Cylons from Battlestar Galactica. Today, if one mentions the words "artificial intelligence," many will think of IBM's Watson beating its human counterpart in a game of Jeopardy!. But where are the day-to-day thinking machines we assumed were right around the corner and promised to us from our Jetsons-viewing childhood? Unbeknownst to many of us, artificial intelligence (AI) is already all around us and interwoven into the fabric of our human lives – yet we don't recognize its presence because machine intelligence has not yet taken on the human form we had fantasized it would become.

Thank you for subscribing to the monthly THINK Marketing newsletter. This post is part of our Cognitive College series where the industry's brightest minds explore different ways cognitive will revolutionize the way that we work and engage with customers. For decades, when one thought of the future, they thought of intelligent, thinking machines, be it Robby the Robot from Lost in Space, supercar KITT from Knight Rider, or the human-appearing Cylons from Battlestar Galactica. Today, if one mentions the words "artificial intelligence," many will think of IBM's Watson beating its human counterpart in a game of Jeopardy!. But where are the day-to-day thinking machines we assumed were right around the corner and promised to us from our Jetsons-viewing childhood?