As I prepared to write this post, I reflected on my favorite Christmas memory as a child — the year Santa brought me my first computer — an Apple IIe (I later learned to code on an IBM XT but I’ll save that story for another day). Kris Kringle was kind enough to also deliver a stack of 5.25” floppy disks loaded with hottest games of the era, like Oregon Trail and Lode Runner. There was one game which caught my imagination and would end up consuming many hours of my childhood: Lemonade Stand.
The premise of Lemonade Stand, was addictively simple – run a lemonade stand where each choice I made determined my stand’s success … or failure. Each “day” in the game, I decided how many glasses of lemonade to produce, how many advertising signs to make and what price to charge for each glass – with only one very important, but sometimes inaccurate, piece of data to base my decisions on – the day’s weather prediction.
Today, the era of the lemonade stand types of businesses—where decisions on what to produce, how many to produce and how to go to market are driven by guesses and few pieces of data—are no more. Instead, businesses face an explosion of customer feedback that fuels their ability to rapidly make decisions, quickly adjust direction and ultimately increase velocity.
However, a pervasive challenge remains: unstructured content. The analysis of structured content – numbers, dates, organized groupings of words, which tell us WHAT is happening – has been largely conquered with traditional analytics systems; however, the analysis of unstructured content presents continuing challenges. But it’s precisely unstructured content, like product reviews, social media and images, that tells us WHY things are happening.
For example, I may know that my business is getting a tremendous amount of reviews for a newly launched product—all of that interest must be a great thing, right? Actually, it’s the text in those reviews that tells me why there’s a lot of interest. Maybe people love it … or maybe the product doesn’t meet customer’s expectations. What I need is an engine that will scour those reviews to reveal insights for my next decisions. Kind of like turning lemons into lemonade.
Turn Your Lemons into Lemonade with the Watson Discovery Service
Watson Discovery Service tackles this challenge head on. Now generally available, it lets developers rapidly build cognitive apps that extract value from structured and unstructured data. With the Watson Discovery Service, developers spend less time cleaning up and acquiring their data, and much more time analyzing and exploring it.
Easily ingest and normalize enormous amounts of unstructured proprietary and publicly available content—even if you have little or no systems engineering and machine learning skills
Exploit third-party pre-enriched news data to enable highly targeted search and trend analysis
Apply natural language processing and artificial intelligence capabilities to go far beyond simple keyword searches
Perform multiple query types including boolean, filter and aggregation to discover patterns, trends and answers
Easily add your Watson Discovery Service data to existing applications using REST APIs
Watson Discovery Service brings together core Watson capabilities—like AlchemyLanguage and Document Conversion APIs, and Watson Knowledge Studio —into an integrated cognitive service that simply and efficiently ingests documents so you can identify critical correlations in vast amounts of unstructured content.
Use Watson Discovery Service in any situation where you want to reveal value in unstructured and structured content, like these:
Aid customer service representatives in delivering answers to complex customer questions
Help researchers understand insights from vast numbers of research documents, industry journals and news content
Extend Watson Conversation Service-based apps to find answers when modeled intents are insufficient to cover the breadth of possible questions
Actiance, Inc. is on a mission to enable the security, management and compliance of unified communications, Web 2.0 and social media channels for corporate customers worldwide. With IBM Cloud as a key partner and enabler, Actiance helps support and manage more than 500 million daily conversations across 80 communications channels. Customers include the top 10 U.S., top 5 Canadian, top 8 European, and top 3 Asian banks. A key Actiance advantage is that its platforms help its customers stay ahead of compliance and uncover patterns and relationships hidden within their data, so they can be more proactive and less reactive.
When you have vast quantities of rectangular data, the way you lay it out on object storage systems like IBM Cloud Object Storage (COS) makes a big difference to both cost and performance of SQL queries. However, this task is not as simple as it sounds. Here we survey some tricks of the trade.
Over the past few weeks, we have been rolling out the ability for IBM Cloudant users to have more control over their Cloudant Standard plans and provisioned throughput capacity. Customers will have the ability to more accurately set the provisioned throughput capacity according to the needs of their applications. The Standard plan is backed by 99.95% SLA at all prices points and changes to provisioned throughput capacity are usually available within seconds.