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Google Building a Machine-Intelligence Based Unified Search Experience

Most information or knowledge workers spend a significant amount of time searching for and consolidating information. What would be the impact of saving five percent of your workweek? How about 20 percent? As you might imagine, any savings could be significant, and technology companies are offering up some rather unique and creative ways to do just that. 

Google, for example, announced that it is sharing its search technology with G Suite customers. The company introduced Google Cloud Search (formerly Springboard) today, a new-ish product (it was actually released in beta some time last year) that uses machine intelligence to provide a unified search experience (and proactive recommendations) to users on G Suite. 

Some enterprises require access to millions (sometimes hundreds of millions of documents) and sorting through that information is, obviously, complex (not to mention incredibly cumbersome - particularly as at least some data and workloads are moving to the cloud. The result? Tech teams are now working on hybrid environments and storing data all over and in various formats - from email and documents to spreadsheets, slides, forms and more. There's a better way and Google knows that the machine is smart enough to make it happen. 

How does it work? Users that open the cloud Search app on their phone or laptop now, for example, will see information organized into simple cards (named assist cards) to help them stay on top of their work. These cards are designed to help users find the right information and the right time. For instances, users may use the cards to prepare for a meeting or may even suggest files that need attention. The Cloud Search offering also makes to possible to locate people listed in your company’s directory. Users, for example, might see colleagues’ contact details, plus events and files they have in common. You can even choose to send an email, make a call, or start a Hangout with just a tap.
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