IBM Watson Discovery brings AI search to every enterprise, any cloud
By Luke Palamara | 3 minute read | July 1, 2019
Over the past few years AI has caused a shift in the business world on a scale not seen since the printing press, robotics, and possibly electricity itself. While it’s true that AI is a forward-looking technology that will assist enterprises with future-proofing their business through streamlining workflows and augmenting human intelligence, it also solves an age-old problem many information-age businesses face: the unstoppable proliferation of data.
Experts predict a 4,300% increase in annual data production by 2020, so we can look forward to a future where each enterprise is cast adrift in a vast sea of their own information: word docs, emails, tables, call logs, PowerPoint decks, and Excel tables. Much of this data will be dark, or inaccessible by traditional keyword based and enterprise search engines, unnavigable except by the most seasoned employees who know which repositories contain what information.
If finding information now is difficult, it’s going to become impossible if you don’t have the correct tools to rely on, like AI search. AI enterprise search augments employees’ intelligence to help them make smarter decisions and complete tasks faster.
AI’s ability to instantly process, organize and modernize information allows your organization to chart the information waters, piece together dissociated knowledge and open up vistas of potential insights that will allow your business to maintain a secure position among competitors.
However, in order to reach the heights of AI’s potential, the industry is going to need to overcome a major hurdle. AI requires access to the aforementioned troves of information—natural language processing, for example, can eat up petabytes of training data in the process of developing speech or text analysis.
Many departments within large companies invest in new AI applications with a specific goal in mind. For example, an IT department adopts AI to perform smarter cybersecurity, a sales department develops a chatbot to assist customers in partnership with their human agents. In these cases, AI implementations happen quickly, and not necessarily with an overarching strategy that takes into account the needs of the entire organization. Bringing together troves of data from various departmental silos and training new sets of algorithms can be time consuming and expensive. This often results in information silos.
Your AI needs access to data from diverse sources. This data often lives in silos across a company – owned by different departments, stored in varied formats or even in third-party clouds. Migrating data into one central location can be prohibitively expensive, time consuming and often times regulatory requirements make that data impossible to move. But without access to this data, your AI may never reach its full potential.
Our market-leading AI enterprise search technology, Watson Discovery, is available on-premises or on any private, public, hybrid or multi-cloud environment. With the new IBM Cloud Pak for Data integration, it’s even easier to unlock Watson’s advanced data governance and integration capabilities and apply it to your data, no matter where it resides.
Watson Discovery can be deployed anywhere: reaching data stored on-premises or on any private, public, hybrid or multi-cloud environment so you can apply the power of AI search. It is our mission to unlock AI and make Watson as easy to use as possible – for any business in any industry.
Watson Discovery also has some powerful features and brand-new capabilities. Noteworthy features include:
- Smart Document Understanding provides complex document understanding and enables users to retrieve answers instead of a list of documents. Users can visually identify both important and unnecessary content – regardless of its format type – inside lengthy and dense documents. This allows users to more quickly train Watson Discovery, identifying content within varied document types.
- Multi-Label Classifier enables users to more precisely index documents, including assigning multiple labels to a single document. This simplifies training and empowers users to ensure content is tagged correctly and Watson Discovery is delivering the most relevant results – for example, an article about learning how to invest could be tagged in the ‘finance’ and ‘education’ categories.
Out of the box, Watson Discovery comes with a rich assortment of enterprise document connectors like SharePoint, Box, Database, Windows File Share, Salesforce — compatible with over twelve document types — including images and tables.
Additionally, as part of the Cloud Pak for Data integration, Watson Discovery is optimized to run on Red Hat OpenShift, as well as all leading public and private clouds. Enterprises can now build mission critical applications with Watson Discovery and deploy in the cloud environment of their choice. The integration is also FISMA-certified, ensuring Watson Discovery is compliant with federal entities’ data and security requirements.
In the future, users can look forward to a host of new machine learning tools to allow them to customize their AI enterprise search to fit their domain.