IBM (NYSE:IBM) introduced new Watson solutions and services pre-trained for a variety of industries and professions including agriculture, customer service, human resources, supply chain, manufacturing, building management, automotive, marketing, and advertising.“As data flows continue to increase, people are overwhelmed by the amount of information we have to act on every day, but luckily the information explosion coincides with another key technological advance: artificial intelligence,” said David Kenny, Senior Vice President, IBM Cognitive Solutions. “AI is the tool professionals need to take advantage of the data that’s now at our fingertips and tailoring general AI for specific industries and professions is a critical way to enable everyone to reach new potential in their daily jobs.”
The news follows IBM’s announcement last week of a new software service that gives businesses more transparency into AI decisions, as well as researchfrom IBM’s Institute for Business Value, which revealed that 82% of businesses are now considering AI deployments.
AI to Table: Today, IBM is making available globally the Watson Decision Platform for Agriculture. The platform gathers data from multiple sources – such as weather, IoT enabled tractors and irrigators, satellite imagery, and more – and provides a single, overarching, predictive view of data as it relates to a farm in an easy-to-use app.For the individual grower, this means support for making more informed decisions to help improve yield.
For example, using AI-enabled visual recognition capabilities, growers can identify certain types and severity levels of pest and disease damage and determine where to spray pesticides. Or a grower can forecast water usage, thereby reducing waste and helping to save money.This Fall marks the start of a new era on the 10,000 acres Roric Paulman has under cultivation in Nebraska: using Watson, it’s the first time he’s using AI to help improve the efficiency of his farm. Farming has always been a data-intensive undertaking, but in recent years, the data sets have exploded.
Right now, Paulman’s farm produces a terabyte of information every month. The tractor tracks its own movements, the irrigators record water flow second by second, and the sprayers register their output. “Until now, nobody has tackled putting all this information into one place,” Paulman says. “I’ve been waiting for something like this, and IBM is the right company, and trusted company, to do it.”
Customer service: In a study of 5,000 executives released by IBM last week, 77% of top performing organizations said they see customer satisfaction as a key value driver for AI. To give customer service agents increased ability to respond quickly to customer questions and complex inquiries, IBM is making available today Watson Discovery for Salesforce.
The solution gives customer service agents the relevant information about a caller’s request in real-time. No more lengthy training needed: Watson immediately presents the likely solution to a request, which can make even junior agents as effective as seasoned pros. It’s been piloted at Deluxe Corporation, who saw improved response times and increased client satisfaction. Now, it’s being made available to the world.
Human resources: The average hiring manager flips through hundreds of applicants a day, spending approximately 6 seconds on each resume, which can make it difficult to make well-considered decisions. IBM’s new AI functionality for HRanalyzes the background of current top performing employees from diverse backgrounds and uses that data to help flag promising applicants. It provides an indicator of success and can help address bias in hiring decisions. For companies that face hiring litigation, it can also help provide a clearer explanation of hiring rationale.
A recent IBM studyof global Chief Human Resource Officersfound that 33% surveyed believe AI will revolutionize the way they do business over the next few years. These leaders are realizing that AI not only helps recruiters to attract the right talent, but also to create a workplace culture that is highly personalized at the employee level and highly collaborative across the organization.AI is already providing IBM clients an advantage in their industries and has enabled companies like BuzzFeed andH&R Block to refocus recruiters’ time on attracting and hiring the candidates who are most likely to succeed in a given role, in an efficient and inclusive manner.
Marketing: Your marketing department could see a big uptick in productivity thanks to AI. The new IBM Watson Assistant for Marketing feature, embedded into the Watson Campaign Automation SaaS solution for marketers, can help by converting the busy work of marketing into a simple conversation with Watson. Ingersoll Rand is using it to understand marketing performance faster and build campaigns that speak directly to individuals, cultivating great dialogues that build loyalty and engagement.
And marketers are just getting started. A recent IBM study of global CMOsfound that 34% of CMOs surveyed are planning to reinvent their customer experiences with AI. New services from IBM help marketers fast track their integration onto marketing platforms, so they can more easily create compelling, personalized consumer experiences with AI.
Advertising: Subway used IBM’s new WEATHERfx Footfall with Watson to design ads based on shifting weather patterns. Why advertise hot sandwiches when it’s 100 degrees out? It’s wasteful, but most ad engines aren’t smart enough yet. Watson is. During its advertising campaign, Subway increased traffic by 31%, far exceeding all other targeting methods. In addition, they saw a 53% reduction in campaign waste, salvaging about 7.9M impressions that would have otherwise gone to waste.
Manufacturing for Industrial Equipment: IBM is releasing specially-crafted Watson toolsetsto help industrial teamsreduce product inspection resource requirements significantly using visual and acoustic inspection capabilities. At a time of intense global competition, manufacturers are facing a variety of issues that impact productivity including workforce attrition, skills-gaps and rising raw material costs – all exacerbated by downstream defects and equipment downtime. By combining the Internet of Thing (IoT) and AI, manufacturers can stabilize production costs by pinpointing and predicting areas of loss such as energy waste, equipment failures, and product quality issues.
Buildings that Talk: Combining industrial IoT and AI, IBM IoT Buildings Insightscan decode the exabytes of data that commercial properties create so that building managers can leverage that data to help reduce energy costs and understand occupancy dynamics in buildings, allowing them to understand and prepare for different occupancy patterns. It enables property owners and building managers to leverage insights from weather, historical performance, and data from other third-party analytics to maximize real-estate investments.
AI for Vehicles: AI will also play a role on the front lines of product development. Since 47% of projects fail due to inaccurate or poorly written requirements (1), IBM is bringing the power of AI to the next generation of our Requirements Management solution. Watson can now assess the quality of requirements and provide guidance on how to improve their quality.
Additionally, to help businesses in all industries drive industrial size outcomes, IBM is introducing services to accelerate companies’ IoT transformations – from strategy, implementation, and security to managed services and ongoing operations.
Supply Chain: Each department in a company is different. Look at the folks responsible for the supply chain: they’re dealing with data flows coming in from all over the world. That’s why a global technology company is using a tailor-made version of Watson to keep an eye on five aspects of its supply chain. Watson can incorporate weather data, traffic reports, and regulatory reports to provide a fuller picture of global supply issues. And, today, IBM is making this technology available to the world with Watson Supply Chain Insights.
About IBM and Artificial Intelligence
A world leader in AI software, services, and technology for business, IBM has deployed Watson AI solutions in thousands of engagements with clients across 20 industries and 80 countries. IBM’s Watson AI solutions are widely used in industries, including by seven of the 10 largest automotive companies and 8 of the 10 largest oil and gas companies.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)