The pressure and expectation of sales reps to be more efficient and effective at their trade, more focused on higher profitability, and more reliant on data rather than intuition can feel like an uphill climb perpetuated by innovation - AI, Machine learning, data science, etc. And the truth is, it shouldn't be! It should be a downhill roller coaster fueled by data science and controlled by the rep, taking the rep straight to the cash prize. McKinsey Global Institute study found that "40% of time spent on sales work activities can be automated by adapting current technologies." Data Science and Machine Learning, when applied to real-time sales problems, enables (not replaces) reps to be more efficient and effective at your job.

Existing approaches to security and management are no longer sufficient, which is why the headlines are now full of security breaches and performance outages,

For example, if you were to train solely on content without any view into how the system is making its decisions, that system might learn that the phrase "Greek bank" is negative, due to the deluge of negative stories associated with Greek banks over the years, even though the phrase is not inherently negative. This is a common problem with systems that attempt to analyze sentiment with a single model and will skew results over time. The Lexalytics HSDTrainer can consume any text corpus that has been appropriately marked up for sentiment, and then return a list of phrases and suggested scores for that text corpus, allowing analysts to both rapidly and transparently train sentiment. Emoji Analytics -- With Salience 6.2, social marketers can now analyze the meaning and sentiment of content that includes the latest emojis released in Unicode 9.0. For example, if a food manufacturer releases a new product that elicits social media posts with the new "nauseated face" emoji, Lexalytics can score the content as negative and alert the customer. Conversely, those same marketers can search for anything that mentions "nausea," and that emoji will return a hit.

A new release out of the company reports, "Romonet today announced it is filing for a number of new patents for the next phase of its data center intelligence platform, utilizing the applications of Machine Learning. The company is known as the leader in data center analytics and this development enhances the value of Romonet's already patented solution. 'We have been working on advanced data handling and Machine Learning algorithms for over a year, focusing predominantly on enhancing our solution to learn and become as proficient as our human data scientists are today at identifying anomalies, and tracking down the cause behind the symptom. This capability provides powerful operational and business insight into data center systems and component level performance,' said Liam Newcombe, Romonet's co-founder and CTO."