Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI and machine …

Even though we're far from achieving critical mass in the legal profession when it comes to the use of predictive coding technologies and approaches in electronic discovery, the use of predictive coding for document review – especially relevancy review – to support discovery is certainly the most common use of artificial intelligence (AI) and machine learning technologies. Some of you reading this blog post may be "old pros" at this point when it comes to the use of predictive coding while others of you still have yet to "dip your toes" into the predictive coding pool. But applying machine learning technology to support document review (which is predictive coding) is far from the only discovery-related workflow and use case where AI and machine learning technology can be applied. There are several others that forward-thinking organizations are looking to also implement to streamline workflows in the discovery life cycle. How could we forget one of the "forgotten ends" that I discussed last week?

Syncron, the largest privately-owned global provider of cloud-based after-market service solutions, announced the general availability of Syncron Price Version 20.4, which delivers several new capabilities to further automate and accelerate after-market pricing functions. The new features include usability enhancements and more sophisticated controls, to enable more optimized pricing to be done in less time and with better outcomes. "As the global economy begins to recover in the post-pandemic era, manufactures must provide even more sophisticated techniques to drive smarter pricing decisions," said Erik Lindholm, Vice President of Product Management at Syncron. "Price must be driven by increasingly sophisticated machine learning, algorithms, and comprehensive analytics that can automatically pinpoint sources of revenue and margin changes using real-time data. Today's companies leverage our technologies to transform their pricing strategies into competitive advantages to maintain relevance and viability in an ever-changing, increasingly sophisticated market."

Echoing the voice of all tech innovators and government agencies, global leaders at Taiwan have pitched AI ML solutions for COVID-19 and the contactless economy. Today, our lives are controlled by promising innovations to drive the contactless economy. The global economy has slowed down and shrunk significantly in the last six months due to lockdown protocols. The COVID-19 pandemic has been the single biggest catastrophe to have derailed the global scenario. While we were aware of mostly contactless payments and digital messaging solutions making it big in the Pre-COVID-19 days, today's scenario is totally different.

We always keep hearing that robots or machines will replace human, and our workplaces will change dramatically. The fundamental truth is that it will, and we have an opportunity to start planning for that, but, like anything else, it's unclear exactly when the tipping point will be. Artificial Intelligence is one of the most trending topics in today's date. It is the wayof enabling a computer software to think intelligently in a manner similar to that of humans. In technical terms, it is an integrated solution of Machine Learning, Data Science, Data Mining, Predictive Analytics, Multi-agent Systems, and fast & reliable computation.

We always keep hearing that robots or machines will replace human, and our workplaces will change dramatically. The fundamental truth is that it will, and we have an opportunity to start planning for that, but, like anything else, it's unclear exactly when the tipping point will be. Artificial Intelligence is one of the most trending topics in today's date. It is the way of enabling a computer software to think intelligently in a manner similar to that of humans. In technical terms, it is an integrated solution of Machine Learning, Data Science, Data Mining, Predictive Analytics, Multi-agent Systems, and fast & reliable computation.

BlackRock, Inc. (NYSE: BLK), the world's largest asset manager, is turning to machines to help pick stocks. To many, it may seem the use of machines and artificial intelligence technologies is reserved for companies like BlackRock with trillions of dollars under management. The reality is companies of all sizes are turning toward machines to improve their business. For example, Bloomberg profiled a craft brewery called Deschutes Brewery that uses artificial intelligence technologies to keep track of vital aspects of the beer brewing process. When a batch of beer wasn't fermenting as it should, the machine automatically detected a problem with the temperature, triggered a warning and then took the necessary steps to save the batch.