In the News
The tech world’s buzz surrounding the topic of autonomous vehicles has been growing in recent years. Major automakers like Ford Motor Company (NYSE:F) have announced plans to develop self-driving cars for consumer release within five years. Transportation services company Uber has recently unveiled a fleet of cars with self-driving capabilities, some of which are currently operating in Pittsburgh, PA. As of this January, traditional automakers like Toyota Motor Corp. (NYSE:TM) and Robert Bosch GmbH (NSE:BOSCHLTD) held the largest portfolios directed towards autonomous vehicles despite tech industry advances made by Google and Tesla Motors (NASDAQ:TSLA).
Thanks to the internet, we have techniques for patent searching that were once unimaginable, bringing mass efficiencies to traditional patent search and analysis processes. For attorneys today, greater access to online information has increased the value of counselors to their clients, providing rich opportunities to forge deeper relationships. It has also increased the challenge of filtering through the noise and irrelevant search results that can drag down patent filing procedures and dive up costly disputes and litigation.
Founded in 2007, Innography was conceived as a way to extend manual processes in patent search to true patent business intelligence by developing a set of powerful algorithms that cleanse and normalize data, mine patents for vital information, and automatically make determinations on which patents in a set are the most valuable.
New technologies enabling predictive analysis of big data provide IP professionals with a platform for better decision-making and vastly improved efficiencies. Tyron Stading, president and founder of Innography, a CPA Global company, spoke to WIPR.