Machine Learning is the buzzword of the moment. In recent years, news stories raving about its possibilities have soared, Google searches for the term have quadrupled, and companies across the globe are scrambling to figure out how to capitalize on the excitement by bringing it into their product mix. While that can be a great thing, claims made by some businesses about what machine learning can do are wildly exaggerated. That makes it crucial to cut through the noise and get to grips with its potential, limitations, and what you can realistically achieve with your resources – so that any investment makes solid business sense. The pair joined forces to deliver an in-depth webinar on machine learning and business intelligence, which you can view in full here.

Apple got an early start in artificial intelligence software with the 2011 introduction of Siri, a tool that lets users operate their smartphones with voice commands. Now the electronics giant is bringing artificial intelligence to chips. Apple is working on a processor devoted specifically to AI-related tasks, according to a person familiar with the matter. The chip, known internally as the Apple Neural Engine, would improve the way the company's devices handle tasks that would otherwise require human intelligence -- such as facial recognition and speech recognition, said the person, who requested anonymity discussing a product that hasn't been made public. Engineers at Apple are racing to catch their peers at Amazon.com and Alphabet in the booming field of artificial intelligence.

Increasingly, companies are turning to artificial intelligence to understand what people say about their products and services on Twitter or Facebook. The goal is to react more quickly to complainers and perhaps sell more stuff to happy customers. But with sarcasm, there is a big gap between what people say and what they mean. And, because computers tend to take everything literally, they simply don't get the joke. For example, "You look wonderful" can mean two very different things depending on the context and the speaker.

Samsung Electronics may invest $1 billion into acquisitions of artificial intelligence (AI) companies. South Korean outlet Chosun Biz reported on Tuesday that the Seoul-based tech giant is currently considering the idea of establishing a $1 billion fund for that purpose. An anonymous source from the U.S. branch of Samsung Electronics allegedly said that the company may even inject more money into the fund as the aforementioned figure is apparently just the bare minimum that the largest business conglomerate in South Korea believes is worth investing. Apart from direct acquisitions and mergers, the report says that the fund would also be used to purchase stakes in AI companies. Despite the fact that Samsung Electronics recently made some significant investments into AI, the company's management still thinks more similar initiatives are necessary, the source revealed.

The development of artificial intelligence (AI) is one of the great milestones of recent years. It has changed our way of relating to technology and will be the basis for the fourth industrial revolution where robotics will gain ground compared to humans. Autonomous cars and smartphones, as examples of AI, not only make our lives more comfortable but we can talk to them and interact. Experts are considering how this transformation influences our mental processes and how it will affect the lives of human beings and their way of behaving and of thinking. Science has had difficulties in portraying this phenomenon that advances by leaps and bounds, but there are some concrete points on which a consensus has been reached.

Only 10% of marketing departments are experimenting with AI and chatbots. Despite the current hype, artificial intelligence is far from a new phenomenon. The beginnings of modern AI can be traced to 1956, since when it has powered world champion chess moves, won game shows and been the darling of the science fiction genre. Interest and investment has gathered significant pace in the last few years leading to new extensions of these early capabilities and integration into everyday life. At one end of the scale, AI is seen as a key component of solving our big generational challenges with eye-watering incentives for doing so.

Apple Inc. works on a devoted AI chip. Bloomberg reported that the company is building its own processor for artificial intelligence. Moreover, the tech giant named it Apple Neural Engine. Google already built its AI dedicated chip which is called, TPU [Tensor Processor Unit]. Introducing Siri in 2011, Apple Inc. was ahead in the Artificial Intelligence [AI] race.Users can operate their smartphones using Siri with voice commands.

In this new episode of Real Smart Marketing, we've asked this big question to 4 of our favorite influencers. If you're like me, the first thing that comes to mind when you hear AI might be this: But as I've come to realize, what we're talking about is a lot less creepy. AI is changing the face of SEO, but not like that. We're talking about algorithms that enable machines to make connections and "learn" to process data and apply its learning in future tasks. Basically, improvements in artificial intelligence like deep learning and natural language processing mean that search engines are becoming smarter and more human-friendly.

For a company set on "moving at warp speed," Cisco's most recent acquisition target, artificial intelligence startup MindMeld, fits in with the geeky futuristic theme the organization has been championing as of late. With AI making enterprise inroads at a rapid clip, across all industries and all kinds of products, Cisco sees investment in this space as an imperative for the success of its Collaboration business unit. The MindMeld acquisition aligns with Cisco's mission to get its products into more hands, faster, which is the message Jens Meggers, Cisco's SVP and GM for the Cloud Collaboration Technology Group, drove home in a recent interview about the company's future vision for collaboration. Cisco will largely leverage the technology to advance Spark, Cisco's team collaboration platform, specifically in the area of ambient listening, as UC analyst Zeus Kerravala told us in his recent No Jitter post on the acquisition. It's easy to conceptualize how AI in the workplace can make workers smarter and more efficient, as Kerravala wrote, calling out an example where a user could ask Spark to summarize Spark messages and identify items that require immediate attention.

LG has had a busy week at CES already, and the show hasn't even started yet. Over the past seven days, the firm has announced new wireless headphones, a levitating speaker and today it unveiled its latest smart home products including a household robot that is a cute rival to Amazon Echo and Google Home. Called Hub Robot, the household robot is a cross between Bicentennial Man (in function, rather than looks), and looks like it comes straight out of a Pixar film. It connects to other smart appliances in the home and uses Amazon Alexa's voice recognition technology to carry out tasks. LG's examples include turning on the air conditioner or changing a dryer cycle.