Woodside is Australia's largest independent oil and gas company. For more than 60 years it's been a critical thread in the nation's fabric: if its gas doesn't arrive promptly in Perth to fuel power generation the city goes dark in two days. The company no longer relies purely on gas and oil for its success, however; it relies on data. According to Woodside senior vice-president and chief technology officer Shaun Gregory: "Our people understand that data is king, that knowledge is king." However; it used to be a burden, he says.

Although artificial intelligence is here since a long time in many forms and ways, it's a term that quite some people, certainly IT vendors, don't like to use that much anymore – but artificial intelligence is very real, for your business too. Instead of talking about artificial intelligence (AI) many describe the current wave of AI innovation and acceleration with – admittedly somewhat differently positioned – terms and concepts such as cognitive computing or focus on several real-life applications of artificial intelligence that often start with words such as "smart", "intelligent", "predictive" and, indeed, "cognitive", depending on the exact application – and vendor. Despite the term issues, artificial intelligence is essential for and in, among others, information management, medicine/healthcare, data analysis, digital transformation, security (cybersecurity and others), various consumer applications, scientific advances, FinTech, predictive systems and so much more. There are many reasons why several vendors doubt using the term artificial intelligence for AI solutions/innovations and often package them in another term (trust us, we've been there). Artificial intelligence (AI) is a term that has somewhat of a negative connotation in general perception but also in the perception of technology leaders and firms.

IBM Watson is one of the best real-world examples of cognitive computing. Cognitive computing is rapidly transforming big data analytics initiatives that began with reports and dashboards generated from nonstandard data into something more substantial. In fact, the cognitive computing market is expected to generate revenue of 13.7 billion by 2020, registering a CAGR (compound annual growth rate) of 33.1% during the forecast period of 2015 - 2020. Cognitive computing is a branch of artificial intelligence. It combines principles of science and engineering to produce "intelligent" machines that learn from the data they ingest in ways that hope to emulate the learning and thought processes of the human mind.

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The invention of religion is a big bang in human history. Gods and spirits helped explain the unexplainable, and religious belief gave meaning and purpose to people struggling to survive. But what if everything we thought we knew about religion was wrong? What if belief in the supernatural is window dressing on what really matters--elaborate rituals that foster group cohesion, creating personal bonds that people are willing to die for. Anthropologist Harvey Whitehouse thinks too much talk about religion is based on loose conjecture and simplistic explanations. Whitehouse directs the Institute of Cognitive and Evolutionary Anthropology at Oxford University. For years he's been collaborating with scholars around the world to build a massive body of data that grounds the study of religion in science. Whitehouse draws on an array of disciplines--archeology, ethnography, history, evolutionary psychology, cognitive science--to construct a profile of religious practices. Whitehouse's fascination with religion goes back to his own groundbreaking field study of traditional beliefs in Papua New Guinea in the 1980s.

Objectively, cognitive computing creates automated IT systems which are capable of determining and resolving problems without assistance. Mostly used in Artificial Intelligence (AI) applications, it is a subset of Artificial Intelligence. A CC system encompasses the following characteristics: Machine Learning Natural Language Processing Spatial and contextual awareness Semantic Understanding Sophisticated pattern recognition Common Sense Vision-based sensing and image recognition Emotional Intelligence Reasoning and decision automation Robotic Control Algorithms that learn and adapt Neural Networks Noise Filtering So basically, you can say that a cognitive computing system might be trained via neural networks. It is basically all about making machine intelligent. Enforcing artificial intelligence into a machine, also known as "Machine Learning".

Opening a cognitive computing center in Romania is on the list of upcoming activities of the American IT company – IBM. The Ministry of Communications and Information Society has recently informed the public about the ongoing negotiations with IBM on setting up a specialized center for cognitive technology in Romania, as reported by Business Review. According to their statement, the Romanian government has already signed a memorandum of understanding with IBM. Both the Ministry of Education and Research and the Ministry of Communications and Information Society have emphasized the importance of cognitive computing technology as a prosperous growth area for Romania. They have identified it as a high potential for the country to become a leader in the industry.

IBM Watson Health has formed a medical imaging collaborative with more than 15 leading healthcare organizations. The goal: To take on some of the most deadly diseases. The collaborative, which includes health systems, academic medical centers, ambulatory radiology providers and imaging technology companies, aims to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Watson will mine insights from what IBM calls previously invisible unstructured imaging data and combine it with a broad variety of data from other sources, such as data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published outcomes studies. As the work of the collaborative evolves, Watson's rationale and insights will evolve, informed by the latest combined thinking of the participating organizations.

Artificial Intelligence and Cognitive Computing has an increasing importance in the interconnected digital world. Data is being generated at a pace like never before. Abundance of Data generated by machines, social media, and others, along with advanced algorithms are allowing us to overcome the barriers of machine knowledge and opening new vistas of intelligence and insights being generated from data. We will look into some of the latest applications of Artificial Intelligence and Cognitive computing and how various industries are getting transformed by this phenomenon. We will also explore some of the cutting edge algorithms that are playing a role in this digital revolution.

Artificial Intelligence and Cognitive Computing has an increasing importance in the interconnected digital world. Data is being generated at a pace like never before. Abundance of Data generated by machines, social media, and others, along with advanced algorithms are allowing us to overcome the barriers of machine knowledge and opening new vistas of intelligence and insights being generated from data. We will look into some of the latest applications of Artificial Intelligence and Cognitive computing and how various industries are getting transformed by this phenomenon. We will also explore some of the cutting edge algorithms that are playing a role in this digital revolution.