AI News, Beyond the buzzword: What “artificial intelligence” means for ... artificial intelligence

Get Smart About Artificial Intelligence

For many, it’s just another buzzword thrown out in a very noisy market, but in the right circumstances, AI can provide immense savings.

This video series is for leaders and contributors alike who are looking to learn more about AI—beyond the buzzwords—and how it can be applied in an organization.

In this video series, I’ll discuss different AI concepts and provide you with a simple explanation that’s accessible to everyone and shows you how that concept can help your organization.

behind AI, share with you what the buzz around AI is all about, explain the major categories and show you why it’s important.

The 'artificial intelligence' in your new smart gadget may not be what you think

“It automatically adapts the audio experience.” If you’re on a bus, it can recognize that sound signature, and then put the headphones in their “Commute” mode, meaning that active noise canceling kicks in.

In a public space, like a sidewalk, the headphones switch into a mode called “In Public,” which triggers a feature called “HearThrough” that uses the mics—it has eight in total—to amplify the sidewalk sounds.

In short, these headphones use, or “have,” artificial intelligence because machine learning has allowed them to be contextually aware and then switch the headphone mode to the correct setting dynamically.

(Actually, it’s relying on the app you pair them with to make this happen.) It’s AI, but it’s limited by what Jabra and Audeering program it to do: it’s not going to learn Spanish on its own, or start adapting to an environment in a new way, unless it’s programmed to do so.

The Future of Artificial Intelligence In The Workplace

Many fear that the rise of AI will lead to machines and robots replacing human workers and view this progression in technology as threat rather than a tool to better ourselves.

Many organisations are already beginning to see the incredible capabilities of AI, using these advantages to enhance human intelligence and gain real value from their data.

Research conducted by EY explains “organizations enabling AI at the enterprise level are increasing operational efficiency, making faster, more informed decisions and innovating new products and services.”

The first companies employing AI systems across the board will gain competitive advantage, reduce cost of operations and remove head counts.

Occupations within the transport industry could potentially be at much greater risk, whereas jobs requiring social, emotional and literary abilities are at the lowest risk of displacement.

As we develop innovative technologies, AI will have a positive impact on our economy by creating jobs that require the skill set to implement new systems.

It is likely that artificial intelligence will soon replace jobs involving repetitive or basic problem-solving tasks, and even go beyond current human capability.

Instead of focusing on the fear surrounding automation, businesses need to embrace these new technologies to ensure they implement the most effective AI systems to enhance and compliment human intelligence.

What Artificial Intelligence and Robotics Mean for Entrepreneurs

have been quickly absorbed into even the general public’s lexicon, and today it can be difficult to tell who really knows the technology they’re talking about, and who is simply pumping buzzwords.

Even for non-technical founders, buzzwords are no longer passable credentials: in order to be able to successfully articulate value to investors, entrepreneurs must possess real fluency in their professed technology’s domain.

When an investor sees artificial intelligence or machine learning referenced in a pitch deck, the first question they will always ask is, An answer containing a phrase like “supervised learning”

would pass the investor’s initial test, because it implies the founder has a real conceptual framework around what their technology does - in this case, using a training data set to teach an algorithm to infer associations between an input and output.

The expert panel identified a number of industries where narrow artificial intelligences are already delivering promising results, including healthcare, transportation, security, and finance: However, every one of the machine learning experts on the panel remains optimistic about a future that still includes plenty of work for human beings.

According to panelist Michael Harries (Partner at The Robotics Hub, Associate at Creative Destruction Lab), In addition to Python and PyTorch, machine learning work is increasingly being pushed into modeling languages and probabilistic language frameworks, and programmers are even finding uses for older languages like Prolog and Lisp.

According to panelist Birpal Sachdev (Leader of Advanced Technologies at Philips Health), entrepreneurs have the opportunity to create value complementary to the big tech companies, For emerging technologies like AI that are still only beginning to take shape, there is a wealth of new challenges and opportunities that arise from each advance made early on.

The expert panelists agreed that machine learning itself is neither inherently good nor bad, but that the machines are amoral: AI will only be catalysts to help humans do whatever it is that humans do, faster.

For this reason, it will be crucial to make sure that AI does not inherit the worst of our human qualities, to ensure for example that training data sets do not teach AIs to learn the same prejudices that hinder humans from attaining our greatest collective potential.

How to use Artificial Intelligence to boost sales

The truth is, personalization works – customers have come to expect a personalized experience and so generic sales and marketing messages are becoming less effective.

These machine learning algorithms analyze data including browsing behavior, past customer interactions, previous purchases, and the purchases of other customers who share certain behaviors or characteristics.

This information is used to automatically recommend products that are highly likely to be of interest to each user, rather than a more generic selection of items that are somewhat similar to items purchased in the past.

AI lead scoring enables sales teams to concentrate on their most valuable leads and return less-qualified leads to the marketing team for further nurturing through the sales funnel.

Using sales software that uses predictive analytics to score leads means that sales and marketing teams have more time to spend interacting with prospects and crafting effective marketing campaigns.

Just as AI is effective at identifying those leads that are most likely to convert, it is also able to predict the cross-sells and up-sells that a sales team is most likely to be successful with for each individual lead.

This eliminates the guesswork that sales teams have to do when it comes to cross-selling and reduces the risk of annoying existing customers with excessive cross-selling of products and services they’re not interested in.

There is a lot of money to be made in cross-sells and up-sells – you have a 60 – 70% chance of selling to an existing customer, compared to only a 5-20% chance for a new prospect.

Luckily for today’s marketers, there is another option – machine learning algorithms can be used to automatically make changes to your online marketing assets based on real-time interactions from each user.

AI chatbots can be programmed to answer basic questions about products and services, provide customer support and service, make cross-sells and upsells, and direct queries to human employees in customer service or sales when necessary.

This reduces the load on human operators and enables website users to get answers to their questions at any time, even if your online chat service is only staffed during working hours.

Artificial Intelligence in plain English

We've all seen recently that an increased number of new products released either showcase an AI component, are being built on Machine Learning, or even ...

Build a Career in AI and Machine Learning | Machine Learning | Artificial Intelligence | Simplilearn

Have you ever thought of working in Artificial Intelligence (AI)? With the advancement in digital technologies, AI and Machine Learning are the buzzwords today.

Experts Sound Off on How Artificial Intelligence Turned into a Bad Buzzword

Buzzwords were a major theme of our coverage at last month's HIMSS meeting in Las Vegas, Nevada. In the course of interviewing numerous attendees-from ...

How A.I. Works? Machine Learning Basics Explained! Simple Visual Example!

Artificial Intelligence and Machine Learning are such a buzzwords, but what is the difference between them? How Artificial Intelligence works? What is Machine ...

Jet Packs, Artificial Intelligence, Data and the Future of Tech

The future of technology was up for discussion at the Founders Forum, an invite-only community of global entrepreneurs, CEOs, and investors in the digital, ...

A.I. Is a Big Fat Lie – The Dr. Data Show

Is AI legit? In this must-see episode of The Dr. Data Show, Eric Siegel delivers a treatise that ridicules the widespread myth of artificial intelligence.

IoT: beyond the buzzword

The Internet of Things is rapidly moving beyond the hypothetical and toward practical implementation. How is this changing the way we live and work, and what ...

Dr. Phil Valentine: The Preoccupation With Artificial Intelligence

Full: .

AI for Social Good: Key Techniques, Applications and Results

Artificial Intelligence has become a ubiquitous part of our daily lives, and this rise in AI applications has stimulated significant interest from the public, media and ...

The Artificial Intelligence Hype Cycle | Numerix Video Blog

| Is the AI hype cycle worth the investment? In this video blog, James Jockle, Chief Marketing Officer at Numerix, sits down ..