For companies newly endeavoring in establishing capabilities in Data Science, it is important to keep a few crucial points in mind. Clean data, applicable models, and business intuition are all key to success. Do not remove any of them from the equation. Data Science is essentially about identifying and/or creating the cleanest possible data set, then searching mathematically for patterns within it. The goal should be to help business users make important data-driven decisions, prove or disprove their intuitions, predict the future, or optimize outcomes and processes.

Mobile phones fundamentally changed how marketers reach consumers, but it's not the only technology that's impacting customer engagement. Augmented reality(AR), Virtual Reality (VR), conversational interfaces and machine learning have emerged as new tools in the digital marketing toolbox. To understand how technology is changing branding and the customer experience, I interviewed Lee Applbaum, the Global Chief Marketing Officer of Patrón Spirits International AG. Patrón is widely heralded as the company that changed Tequila's public perception. Once relegated as the liquor of a college party gone wrong, tequila is now sold in upscale bars, restaurants and clubs.

Companies handle a great deal of information every day, which can make it difficult to tease out trends or watch for sales opportunities. Artificial intelligence (AI) improvements are reducing that strain by automating data analysis, which can reduce costs as well as the time required to make decisions. Recent AI technology developments mean that firms now have a chance to take advantage of stronger analysis automation in fields like shipping, travel, health care and even transportation. Below, executives from Forbes Technology Council highlight eight industries that will benefit most from artificial intelligence. Technicians analyze data following the trial of an autonomous self-driving vehicle.

Too many laptops, tablets and other mobile devices leads to congested WiFi airwaves. Q: I have horrible Wi-Fi in rooms of my house. A: A wireless network repeater is a great way to extend coverage, but it has to be placed in the right spot. Most routers spread signals in a circle. The closer you are to the router, the stronger the signal. As the circle spreads out, there is a sweet spot to put the repeater.

Neural networks are all the rage in Silicon Valley, infusing so many internet services with so many forms of artificial intelligence. But as good as they may be at recognizing cats in your online photos, AI researchers know that neural networks are still quite flawed, so much so that some wonder whether these pattern recognition systems are a viable path to more advanced--and more reliable--forms of AI. Able to learn tasks by analyzing vast amounts of data, neural networks power everything from face recognition at Facebook to translation at Microsoft to internet search at Google. They're beginning to help chatbots learn the art of conversation. But because they can't make sense of the world without help from such large amounts of carefully labelled data, they aren't suited to everything.

Machine learning focuses on the development of computer programs that can teach themselves to grow and adapt when exposed to new data. It is increasingly impacting our lives nowadays, as machines play an important role in banking and financial services, healthcare, retail, publishing, and in the social media, robot locomotion and gaming domains. When we start the journey of life as new born babies, we inherit the characteristics of our parents. We don't know what to do and when to do what. As we grow up, our parents and elders teach us how to walk, talk and take various decisions in our lives and, as time passes, we gain experience and knowledge.

Nominet today announces turing 1.3, the latest iteration of its DNS visualisation and analysis tool. The update adds a wide range of capabilities and enhancements to the platform, foremost of which is a new machine learning algorithm that allows turing to learn and understand the network analytics pattern of the user's business. The new functionality will be of huge benefit to cyber security experts and CIOs as it acknowledges the reality that enterprise networks aren't neat and structured environments where a simple security policy is enough to deliver protection, but a dynamic place where patterns and threats emerge and evolve on an ongoing basis. With these features, turing is the only product offering near real-time DNS traffic filtering and analysis down to the packet level, at enterprise performance and scale. Machine learning in turing makes use of third-party security feeds, which allows the tool to cross reference IP addresses and query names with known bad actors, and then provide the user with an overview of the top 10 events in their DNS traffic they need to know about at any one time.

Chatbots are here to stay. While a year ago, many in the tech industry saw this as yet another Silicon Valley fad that was more hype than substance, that debate has largely been put to rest now. Today bots are being deployed by major companies in almost every sector. But now, there is an intra-bot war brewing in the bot community. In October, we conducted a webinar on the fall of mobile apps and the rise of bots which had 145 attendees.

Presidents are powerful people facing and dealing with complex nation, market and economy sized problems. Making good decisions and managing these deeply complex systems and organizations requires massive amounts of data, analysis, experience and understanding. They must process and analyze millions of data inputs, and have a clear understanding of what the data in aggregate means, and then have an understanding of how they can influence the outcomes by pulling the right levers of power and influence to achieve their goals. The responsibility of dealing with these massive levels of complexity seems almost inhuman. In fact, so inhumane, perhaps it would be better to not have a human, but a bot as President.

As artificial intelligence begins to touch everything humans do, SoundHound Inc. is prepared to go up against tech giants such as Amazon Inc. (AMZN), Alphabet Corp.'s Google (GOOGL) and others to carve out its own niche. SoundHound, best known for its music recognition app, recently raised $75 million from backers like Nvidia Inc., Samsung Inc. and others to have device makers use tools that are built by SoundHound, rather then building the tools themselves. News of the funding was reported by Bloomberg and others. The $75 million funding round--which would be SoundHound's fifth according to Crunchbase--would value the company at roughly $800 million according to Pitchbook. SoundHound is trying to position its technology as being a gateway for device makers to add voice-enabled technology, allowing users to speak to their devices, similar to what Amazon has done with its Echo line of speakers and Google has done with its Google Home smart speaker.