TEL AVIV, ISRAEL and NEW YORK, NY--(Marketwired - August 16, 2016) - Logz.io, the log analysis company that offers the open-source ELK Stack as a cloud service, today released Cognitive Insights . This new analytics solution is powered by artificial intelligence that identifies critical events in IT environments before they cause further damage to the bottom line. With the growing amount of machine-generated Big Data within organizations, it is unrealistic to expect human beings to look at every piece of information. This causes most companies to face the challenge of detecting critical events in their increasingly complex IT environments early enough in order to take corrective actions. Cognitive Insights proactively alerts IT managers to problems before they outwardly affect the the business.

The system takes advantage of Wipro Holmes Artificial Intelligence Platform, to offer cognitive enhancements to issue assignment and tickets handling. These enhancements help reduce the learning curve and improve accuracy, lead times, costs and the overall user experience. The platform supports a work force of 170,000 employees spread across the globe.

Rush hour--the dreaded time of day when traffic conditions seem bent on making you late. As your car slowly creeps in line behind countless others stuck at a stop light, you think to yourself, "Why aren't these lights changing faster?" Traffic control scientists have long tried to solve this signaling problem. Unfortunately, the complexity of traffic situations makes the job extremely hard. A recent study suggests that machines can learn how to plan traffic signals just right to reduce wait times and make traffic queues shorter.

What Exactly Do You Mean By AI?

An excellent staff is not built by bargaining down a potential employee, seeing how little you have to offer to get them to sign on the dotted line. That is almost a sure guarantee of job dissatisfaction and an untimely and probably acrimonious exit. It's also counter-productive to make extravagant claims about your startup to tempt the strongest talent; once you've lost their confidence by overstating the benefits, it's almost impossible to recover it.

Analysis Artificial intelligence and machine learning engines are underpinning many emerging applications and services, from making sense of big data for enterprises, to supporting hyper-personalized consumer content, or virtual reality gaming. The current challenge is to move AI from the supercomputer to the mobile device, supporting technologies like computer vision locally on the handset, car, camera or VR headset. Qualcomm has been a leader here, but the past weeks have seen Intel and its Chinese partner Rockchip invest in chip-level computer vision and AI capabilities, while Apple has acquired machine learning startup Turi, presumably to enhance its AI-driven personal assistant Siri. Rockchip has licensed the XM4 imaging and vision DSP (digital signal processor) design from IP provider CEVA, to enhance these aspects of its system-on-chip (SoC) products. It says it will enable advanced vision features at the low power levels required for mobile devices, supporting digital video stabilization, object detection and tracking, and 3D depth sensing, among others.

It is really fascinating to see how chat bots can automate contextual conversational interactions. According to Casey Newton from The Verge "Bots are here, they're learning – and in 2016, they might eat the web", which seems to be very realistic because there are thousands of bots out there and more are being developed that increase productivity, simplify the user experience, or are just for plain entertainment. The majority of the bots as of today are simple commands to automate daily tasks. However, Artificial Intelligence (AI) powered bots are the future -- you can build natural languages as services to communicate directly with customers to order food for example, and even pay for items entirely through it. AI stuff is bubbling with the explosive growth of social messaging, there is a real opportunity here to wire-up and manifest the bot to ride the bot wave.

We kick off today a month-long focus on trends in the following categories: Manufacturing, Manufacturing Technology, Supply Chain, Logistics, and Transportation Management. This 2016 supply chain trend will continue as best-in-class organizations leverage business networks to create a digital community of partners executing coordinated processes in a more organized and informed way than in the past. This new breed of supply chain is more connected, intelligent, scalable and rapid than traditional supply chain management. In today's global and connected economy, digital supply chains are the on-ramp to innovation and success.

In 1950, computing pioneer Alan Turing posed a heretical question: Can machines think? Some 66 years later, the answer is clear. Evidence of machine learning is all around us. Execute a Google search and you'll reap the benefits of machine learning. When Google presents results to a user, the user votes on those results via a click.

For many startups from countries like Australia and New Zealand, the relatively small size of the local market pushes them to go global, and quickly. That mindset means learning how to manage offices in multiple countries, time zones and languages -- something that requires some quick adaption. SEE ALSO: Online gaming may boost school scores. Laura Cardinal, global general manager at the accounting software company Xero, handles a team of 150 product developers, engineers and product managers across Melbourne, Australia and Wellington, New Zealand. She said learning to work with teams in multiple locations was a significant learning curve.