You may find the word "data" in the term "data journalism" redundant. After all, newsmaking of any kind, even the tacky, propaganda-driven type, has always relied heavily on data. Earlier, on-set journalists, reporters and data collection teams would scramble to procure information that could then be processed before being presented to the masses. However, this approach had an obvious problem--the disparities between newer real-life developments and published news reports in newspapers or even on electronic media would be vast. Data journalism--newsmaking driven by faster data collection and visualization, traces of which were first witnessed in the US during the 1950s--uses digital tools to simplify data collection.

Oracle on Tuesday used its 2019 Openworld conference in San Francisco to introduce ways for B2B firms to bring sales and marketing data together, as well as tools to personalize and customer experiences based on a variety of contextual data. Among the updates announced as part of its customer event this week, the business software giant said it was going to offer an integration between its marketing automation applications and Oracle DataFox. Acquired last year, Datafox brought Oracle an artificial intelligence (AI) data engine designed to continuously extract company-level data and signals to help companies see where they can grow. The Oracle Datafox integration will mean B2B firms can have a richer view of accounts, which will help them rank and prioritize opportunities, said Rob Tarkoff, Oracle's executive vice-president and general manager, CX Cloud. "CX applications will no longer be trapped by data that sits in different silos," Tarkoff said during a keynote session, which was livestreamed from Oracle Openworld.

Sina Habibi, CEO of Cognetivity Neurosciences, spoke with INN about the company's partnership with DPUK and additional plans for 2019. At the recent Cantech Investment Conference, Sina Habibi, CEO of Cognetivity Neurosciences (CSE:CGN,OTCQB:CGNSF) spoke with the Investing News Network (INN) about the company's partnership with the Dementia Platform UK (DPUK) and additional plans for 2019. Habibi said the company will be putting more efforts into its artificial intelligence (AI) platform and collecting more data as it seeks to train its solutions to detect mental health disorders, like attention deficit hyperactivity disorder (ADHD). As it currently stands, Cognetivity is using AI and machine learning to aid in the early detection of dementia and Alzheimer's disease. On that note, in addition to the DPUK partnership, Habibi spoke to INN about a health application the company has that could be launched by the end of 2019.

As more enterprise firms and their customers start to question the use of data in analytics, research and artificial intelligence tools, the Institute for Operations Research and the Management Sciences (INFORMS) is offering an 18-point set of guidelines to ensure ethics in quantitative decision-making. Based in Catonsville, Md., INFORMS was established in 1995 following a merger between the Operations Research Society of America and The Institute of Management Sciences. Its ethics guidelines, which are available as a foldable printout, are grouped into three broad categories where operations research and analytics are likely to have the greatest impact. These include society, business organizations themselves and those working directly in professional roles involving quantitative decision-making. "We aspire to be . . . Questioning of whether there are more effective and efficient ways to reach a goal," one of the guidelines says, for example, as well as "realistic in our claims of achievable results, and in acknowledging when the best course of action may be to terminate a project."

Some reports project that the global artificial intelligence market will reach as high as US$59.74 billion in 2025, making it one of the hottest industries today. With so much growth going into the sector, now is the time more than ever for investors to jump in on this industry. Here's an overview of, "what is artificial intelligence investing?"

Blockchain isn't the only new wave of technology that's transforming the world we live in: artificial intelligence (AI) is also taking charge as a revolutionary industry in a big, big way. A Research and Markets report called "Global Artificial Intelligence Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2017 to 2025" indicates the artificial intelligence sector was worth $1.36 billion just two years ago (2016), and is projected to grow at a compound annual growth rate (CAGR) of 52 percent between 2017 and 2025. According to the report, 2016 was a significant year for the industry as it marked the year AI officially became an evolving market. Fueling growth going forward, technologies like deep learning, intelligent robots, neuro-linguistic programming and querying method will be at the forefront of the AI sector. With the market poised for significant, transformative growth over the next several years, here the Investing News Network (INN) takes a look at six artificial intelligent-related stocks for investors to familiarize themselves with. All companies below have market caps of less than $500 million and are listed in alphabetical order.

Narrow artificial intelligence, or non-sentient AI, is now part of of our everyday lives. Amazon (NASDAQ:AMZN) recommends additional products based on previous purchases, Google (NASDAQ:GOOG) fills in search queries, Siri responds to your voice. More often than not, we trust the information we receive from these algorithms. But are we prepared to do the same when it comes to our health? Artificial intelligence is revolutionizing technology, but also medicine.

It might be surprising, but the phrase "artificial intelligence" has been around for over a half a century–since 1955, in fact–and was intended to describe a new computer science-sub discipline. But, what exactly is artificial intelligence (AI)? In simple terms, as defined by Investorpedia, AI means "stimulated intelligence in machines." In other words, AI machines are capable of thinking like people and mimicking their actions–sort of like a robot. Of course, that is a very broad definition of the capabilities AI encompasses.

Artificial intelligence (AI) has played an important part in B2C relationships over the years. There are thousands of applications, ranging from the recommendation of TV shows to the fraud detection systems deployed across many commercial establishments. The current rise in the use of chatbots is just another level in the use of AI in the B2C space. Perhaps surprisingly, however, the uptake of AI in the B2B world has been rather slow. Interestingly, experts in the B2B niche are aware of the need to embrace AI. 80% of marketing executives in the B2B niche expect AI to transform marketing by the end of the decade.

The NASDAQ 100 Technology Sector (INDEXNASDAQ: NDXT) went down last week, seeing a decrease of 0.37 percent over the last five trading days and closed at 3,260.21 points on Friday. Last week HP (NYSE: HPQ) opened the world's first 3D Open Materials and Applications Lab. In an attempt to give a boost to their stock, Twitter (NYSE: TWTR) announced the possibility of introducing a paid-service for its platform, where users could get a premium version of the site with adavanced data. This digital advertising company focuses on their data-driven predictive marketing powered by artificial intelligence. Last week the company expanded a partnership with IBM by getting to use the IBM Watson technology.