IBM is hoping its Watson supercomputer will get more attention from developers after the company picked up AlchemyAPI, a machine learning company.
Watson is IBM's cognitive computing system, and remains famous for winning the US game show Jeopardy, with IBM now offering it in the cloud to anyone seeking to crunch high volumes of data.
You can also ask it questions in natural language and get "evidence-based" answers, IBM said.
AlchemyAPI's deep-learning technology will be integrated into the Watson platform, helping improve the supercomputer's ability to "quickly identify hierarchies and understand relationships within larger volume data sets," according to IBM.
"The technology is expected to enhance Watson's ability to ingest, train and learn the 'long-tail' of various data domains including general business and target industries, as well as address the need to manage constantly evolving ontologies," Big Blue added in a statement.
Aside from acquiring AlchemyAPI's deep-learning tech and its API services, IBM also welcomes the 40,000 developers using the AlchemyAPI platform, helping to expand the ways users can access Watson's cognitive powers.
The acquisition will expand the number of APIs that can be used in the Watson ecosystem, including language analysis and extracting details from image data.
"IBM will incorporate AlchemyAPI's deep learning and knowledge graph technologies into the core Watson platform, accelerating its ability to learn and understand diverse data sources," said AlchemyAPI CEO Elliot Turner in a blog post.
"The acquisition will also significantly expand the Watson developer and partner ecosystem, adding AlchemyAPI's natural language processing and computer vision services to the IBM Bluemix platform."
Smith said existing AlchemyAPI partners will see no service disruption following the deal, saying it will continue to be made available to customers after the acquisition by IBM.
"In coming months, you'll see exciting developments in the form of new APIs, natural language processing and computer vision innovations," he said. "With the additional resources of IBM behind us, we expect to offer even better service and support to our customers."
Financial details of the deal weren't disclosed.
-
What does modern security success look like for financial services?Sponsored As financial institutions grapple with evolving cyber threats, intensifying regulations, and the limitations of ageing IT infrastructure, the need for a resilient and forward-thinking security strategy has never been greater
-
Yes, legal AI. But what can you actually do with it? Let’s take a look…Sponsored Legal AI is a knowledge multiplier that can accelerate research, sharpen insights, and organize information, provided legal teams have confidence in its transparent and auditable application
-
‘There is no law of computer science that says that AI must remain expensive and must remain large’: IBM CEO Arvind Krishna bangs the drum for smaller AI modelsNews IBM CEO Arvind Krishna says smaller, more domain-specific AI models have become the most efficient and cost-effective options for enterprises.
-
IBM puts on a brave face as US government cuts hit 15 contractsNews Despite the cuts, IBM remains upbeat after promising quarterly results
-
IBM completes HashiCorp acquisition after regulatory approvalNews IBM has completed its $6.4 billion acquisition of cloud automation and security firm HashiCorp,
-
IBM eyes Oracle expertise gains with latest acquisition
News The deal aims to help IBM address the complexities of public sector cloud transformation
-
UK regulator to investigate IBM takeover of HashiCorp
News The CMA is concerned that the merger could affect competition in the cloud services market
-
Channel Focus: All you need to know about IBM's partner programHow Big Blue seeks to go deep, tackling enterprise complexity: A brief guide to the role of partners in IBM's plan to accelerate software and consulting sales.
-
Put AI to work for talent managementWhitepaper Change the way we define jobs and the skills required to support business and employee needs
-
The power of AI & automation: Productivity and agilitywhitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem.
