Artificial Intelligence in Marketing

Use AI to help make decisions.

Audience targeting and automatic content creation are just a few of the many ways AI can be used to help grow your user base and increase sales.

This video presents how some startups are applying AI to the marketing space and then programmatically walk through some AI techniques like matrix factorization, SVD, and LSTM neural networks that help a marketer outperform the competition and get the optimal results for their business.

Some existing services to use: – Aims to provide artificial intelligence (AI) platforms to help enterprises solve their most challenging business problems, including audience prediction. – Connects, unifies, and supercharges customer data to create a complete view of the people you do business with, including predicting times types of users will be on a specific platform. – Delivers an AI-powered SaaS platform to guide sales teams to build better pipeline and close more of the right deals, including helping to find 20% of customer base that will convert – Persado applies mathematical certainty to words to help create phrases and words for content that drives action.

AI and The Super Future

AI keynote speaker & NY Times Bestselling innovation author Jeremy Gutsche dives into artificial intelligence and the AI mechanized future in an AI talk that explores how artificial intelligence trends will change your future, particularly as you combine innovation in AI with robotics, interface, bio enhancement, 3d printing, mind reading, sustainability and thought control.

This AI speech is different than most of Jeremy’s innovation keynote speaker videos in that he dives into a lot more detail about a few specific AI-related trends, versus his normal style of storytelling. Compared to other AI keynote speakers, Jeremy takes a higher level view about how AI impacts a variety of different industries.

His AI & The Super Future keynote was the final keynote at Future Festival World Summit.

In this AI keynote, Jeremy also shares insight from his company’s artificial intelligence transformation. In short, he talks about some of the lessons learned from launching Trend Hunter AI and learning how to leverage your existing data.

8 Most Advanced AI Robots in the World Today

8. ASIMO BY HONDA During the 1980’s, Honda diverted from its usual product lines of cars, motorcycles, aircraft, and power equipment, and embarked on a “side project” in the Artificial Intelligence department. The final product was a humanoid robot called ASIMO, which stands for Advanced Step in Innovative Mobility.

7. VALKYRIE Valkyrie is a 6-foot-2-inch-tall, 300-pound robot that was developed by NASA’s Johnson Space Center, in partnership with Texas A&M and the University of Texas. The robot was designed for the 2015 DARPA Robotics Challenge, a contest that sought to create semi-autonomous ground robots for use in conditions that are deemed too hazardous for humans.

6. ATLAS Atlas is a bipedal humanoid robot that was created by the US-based engineering and robotics company Boston Dynamics, and which was revealed to the public in 2013. The project was funded and overseen by DARPA, an agency of the United States Department of Defense that is responsible for the development of emerging technology for use by the American military.

5. KENGORO Toward the end of 2017, researchers from the University of Tokyo reported the development of a robot named Kengoro, which can do sit-ups, push-ups, and back extensions, and otherwise move in shockingly human ways that are uncharacteristic of any previous robot. Most impressive, however, is the ability of Kengoro to sweat.

4. HRP-4 This lightweight humanoid robot was developed by Japanese bridge-building company Kawada Industries, in collaboration with the National Institute of Advanced Industrial Science and Technology. It weighs just 86 pounds, has better balance, and is leaner than previous models of the HRP-series robots, and can also respond to voice commands and track faces and objects. Even more impressively, the HRP-4 can stand on one leg and strike poses.

3. FURHAT Another robot that was designed with the goal of eventually replacing humans is Furhat, which was released in late 2018 and is claimed by its developer, Stockholm-based Furhat Robotics, to be the world’s most advanced social robotics platform. The company is so confident about their product, they believe it “bridges the gap between man and machine.”

2. NINA In 2013, engineers from the French National Centre for Scientific Research created Nina, a 1.02 meter (3.3 feet) tall humanoid robot that has been shaping its behavior ever since. Gerard Bailly, director of research at CNRS, explained in 2017 that Nina is continuously learning “how to behave in a socially acceptable manner.”

1. SOPHIA On October 25, 2017, an eerily life-like robot named Sophia became the first robot in the world to truly be recognized as a human, when the kingdom of Saudi Arabia granted her full citizenship.

Artificial Intelligence & the Future

This is an Artificial Intelligence booster video featuring Bill Gates, Tim Cook, Warren Buffett, Barack Obama, Elon Musk, Sundar Pichai and Jeff Bezos and a promotion for Simplilearn’s Artificial Intelligence course.

According to the report How AI Boosts Industry Profits and Innovations, AI is predicted to increase economic growth by an average of 1.7 percent across 16 industries by 2035. The report goes on to say that, by 2035, AI technologies could increase labor productivity by 40 percent or more, thereby doubling economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this domain. Let us see what our business leaders have to say about this.

The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. for engineers with the required skills.

AI: Life in the Age of Intelligent Machines

The future is artificial intelligence (AI).

In the coming 50 years all people will be impacted by AI.

AI is based upon computing massive amounts of data. In fact, that articulates its basic purpose: understanding massive amounts of data and complex systems.

AI is just algorithms being executed in clever ways.

It’s difficult to predict all the ways AI will make life better in the future.

But the downside includes the amount of human labor that will be replaced.

How we will manage the disruption needs to be figured out.

Furthermore, the systems themselves are prone to compromise.

The more we become reliant upon AI, the more vulnerable we become when those systems are attacked or disrupted.

We need to think about the ethical deployment of technology.

It’s impossible to predict all the ramifications of AI.

What is Machine Learning?

Artificial Intelligence (AI) is a catchall term that refers to the science of computers with human-like capabilities

Machine learning is a sub-category of AI, or a way of doing AI.

Machine learning is not the same as programming. it’s a way of teaching computers what to do by way of example.

You give the computer a bunch of examples of what you want it to do and it figures out how to do it by itself.

This video provides a description of how machine learning could be used to individually identify ducks and geese in a barn without teaching them all about the details of ducks and geese.

How AWS Is Changing Businesses Using Artificial Intelligence

The term “artificial intelligence” (AI) has been around since 1956.

Scientists found that it was more efficient to teach computers to learn than to program every skill needed to perform every task. This became known as machine learning.

Deep learning is a subset of machine learning that uses neural networks, which is a set of algorithms modeled on the human brain.

This enabled AI to tackle even bigger problems.

Voice recognition, improved medical diagnosis and self-driving cars are examples of machine learning.

Machine learning and deep learning have the potential to improve every aspect of business and the economy.

However, AI can be hard to implement alone. It’s also computational intensive and expensive.

Amazon Web Services (AWS) presents itself as the solution to these problems.

Amazon SageMaker is their specific solution to getting started with and using AI.

Developers can use whichever deep learning frameworks they are familiar, including TensorFlow, PyTorch and MXNet.

Any business can accelerate machine learning in the cloud with AWS.