Category: Data News

Workday’s Game-Changing Move: Acquiring Paradox (an AI Recruitment software player)

Workday announced, alongside its Q2 2026 financial results, a definitive agreement to acquire Paradox on August 21, 2025. The acquisition is a strategic move to integrate Paradox’s conversational AI for high-volume candidate experience into Workday’s enterprise platform. As someone that works in the data space, works with Workday, and supports the HR function, this is of interest to me.

Who They Are

Workday
Founded in 2005, Workday is a leading cloud-based enterprise software provider specializing in human capital management (HCM) and financial services. Trusted by over 11,000 organizations—including more than 65% of the Fortune 500—it helps companies manage payroll, recruiting, and more through its AI-first platform. Wikipedia. Workday has been going all in on AI, which is why they were interested in Paradox.

Paradox
Launched in 2016, Paradox is an innovative player in conversational AI for recruitment. Known for its digital assistant Olivia, Paradox streamlines high-volume hiring processes—handling things like screening, scheduling, and candidate Q&A via chat, SMS, or mobile interfaces. It serves clients like McDonald’s, Unilever, and Chipotle and has powered over 189 million candidate interactions, achieving conversion rates above 70% and cutting time-to-hire to as fast as 3.5 days. PR Newswire+1. That is an impressive time-to-hire statistic!

Why This Acquisition Matters

  1. Extends Workday’s Talent Acquisition Suite
    Integrating Paradox lets Workday offer a full-spectrum hiring solution—from AI-based candidate matching via HiredScore to Paradox’s conversational interface and back-office onboarding through Workday Recruiting—all within one seamless platform. IT ProPR NewswireAInvest
  2. Gains Ground in Frontline Hiring
    Frontline roles (think retail, hospitality, logistics) make up a huge swath of global jobs—roughly 70%. Paradox delivers exactly what that market needs: fast, high-volume, scalable hiring. Josh Bersin even called this “a highly strategic move” that could reshape Workday’s growth trajectory. JOSH BERSINHR Tech Feed
  3. Built-In AI Innovation
    Adding Paradox brings not just the tech, but the talent behind its AI tools. This deepens Workday’s AI capabilities and supports its long-term vision of building an AI agent-centric architecture. JOSH BERSINAInvest
  4. Proven ROI on Day One
    Paradox has delivered significant outcomes—Chipotle saw a 75% reduction in time-to-hire and doubled candidate flow; other clients report streamlined scheduling and improved candidate experience. PR Newswire+1HR Executive

What’s in It for Workday—and how it changes the HR Tech Landscape

For Workday:

  • Expands its offering to include a strong solution for frontline and contingent workers, not just white-collar roles.
  • Enhances AI-driven hiring tools—turning a fragmented process into a unified, intelligent workflow.
  • Likely to drive stronger customer loyalty and cross-sell opportunities.
  • Will immediately add to Workday’s bottomline.

For the broader HR applications market:

  • Sets a higher bar for talent acquisition platforms—more emphasis on candidate experience, AI-driven efficiency, and conversational interfaces.
  • Adds pressure on competitors like Oracle, SAP, and ADP to step up their AI and frontline hiring solutions. ReutersInvesting.com

Final Thoughts

Workday’s acquisition of Paradox isn’t just about buying another tool—it’s a strategic leap into a broader, more intelligent, and more conversational hiring experience for a wider swath of the workforce. With the deal expected to close in Q3 of its fiscal year 2026 (ending October 31, 2025), Workday is positioning itself as a go-to AI-powered talent platform—built for the volume and complexity of today’s global labor markets.

Thanks for reading!

Salesforce Einstein Bots

What is a Salesforce Einstein Bot?

According to Salesforce a bot is “a computer program which conducts a conversation via auditory or textual methods.”.

So, before we get more into what a bot is let’s first look at the platform they are created on, Salesforce’s Einstein Analytics.

Salesforce’s Einstein Analytics provides impressive mechanisms that assist organizations and their users of the Salesforce platform to connect, communicate & interpret customer needs. By implementing elements of artificial intelligence, data mining and predictive analytics Salesforce users can get deeper insights into their customers data and begin to build an improved base of knowledge related to their business. With an underlying engine tuned for performance and a presentation layer which can display key details or high level metrics on dashboards Einstein Analytics is the next step in reporting on the health of your sales pipeline, exposing opportunities and providing suggestions to help guide you in identifying & visualizing growth which aligns to your business.

Now, back to bots …

Basically, a bot is a means to facilitate communication between humans and computers with either voice or text and subsequently executing an action tied to the input provided. Bots can learn over time to interact with humans by leveraging Salesforce’s Einstein Analytics platform and your data which resides in Salesforce and respond using Natural Language Processing. According to Wikipedia, “Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.”

Why are Salesforce Einstein Bots important?

Organizations are creating and implementing bots at an ever-increasing rate. By creating and implementing a bot an organization can begin to get a handle on support cases resolving many of them very quickly and for some scenarios eliminating the need to open one at all.

Of course, a bot isn’t something that is intended to supplant interaction with a human. However, they can be leveraged to provide a decision path for customers and route customer’s requests quickly based on their general needs while providing a positive initial reception which can augment your current customer service model.

Not only can bots improve productivity of agents by freeing them from having to spend time addressing some of the simpler, frequent requests but can now allow them to focus on more time consuming, complex issues.

Bots in a sense can also be considered another channel for content. However, instead of thinking of new ways to formulate questions from scratch organizations should try to marry current content to bot questions. Reusing content is good but it should rely on content that is based on existing knowledge. This reuse of inhouse documentation & materials will ultimately bring development costs down leading toward a more uniform experience with a higher degree of excellence for the interaction.

How to configure the platform for Salesforce Einstein Bots?

Before you jump in and start creating bots you would be best served by allocating time to plan your bot and consider how it will interact with your customers.

Collaborating and soliciting feedback from agents regarding the issues they experience with customers that are potential areas a bot could address is a good start.

Think about the bot’s persona, what its name should be and how you would like it to convey & reiterate a consistent image of the company overall.

Decisions related to which channels to use, ways in which customers can enter their questions, which licenses are required, which profile to use, whether to provide a menu, what is not in scope for the bot, … etc. should all be worked out in advance of bot development.

At what point does a human need to take over from the bot’s interaction with the customer, if at all?

In Salesforce you will need a Service Cloud license and a Chat or Messaging license. Once that is obtained you will need to turn on Lightning Experience. There is a guided setup flow for Chat you will need to run through. If your organization has Knowledge articles you want to make available to customers through the bot that will need to be enabled also. In your Salesforce Org if you go to Setup and type Einstein Bots in the quick select area it will return Einstein Bots you can click on. Then under Settings there is a toggle to enable Einstein Bots.

When ready make an Embedded Chat button available on your published Salesforce site or community site for your customers to interact with. A Salesforce community site is preferred.

Check out the https://trailhead.salesforce.com/en/home free training to find out more about how to create bots within Salesforce.

Things to consider when maintaining Salesforce Einstein Bots.

Salesforce documentation indicates that the following items also be considered when planning bot creation:

  • Chat and Messaging licenses support different channels (such as SMS or Facebook Messenger) and might have different requirements.
  • Each org is provided 25 Einstein Bots conversations per month for each user with an active subscription.
  • To make full use of the Einstein Bots Performance page, obtain the Service Analytics App.

OBIEE Recent Releases & Support Information

12/5/2012: Picked up this information from the Business Analytics newsletter from Oracle.  It’s good to see that a cumulative patch is now available for all the 11.1.1.6.x releases.  Also, note that it seems the support for OBIEE 10.1.3.x will expire in July 2013 – that time will be here before you know it.

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10.1.3.x

The Premier Support for Oracle Business Intelligence Enterprise Edition 10.1.3.x ended in July 2013. For additional information on the de-support status and for details for moving towards recent release refer to:

  • OBIEE 11g: Required and Recommended Patches and Patch Sets [Doc ID 1488475.1]
  • ALERT: Required and Recommended Patch Levels For OBIEE 10g (10.1.3.x) Versions (Doc ID 1082987.1)

11.1.1.5.4

Oracle Business Intelligence Enterprise Edition (OBIEE) 11.1.1.5.4 Bundle Patch was released Oct-12.

This is available for download from the My Oracle Support | Patches and Updates:

Additional information is available from:

Refer to “Retiring Product” section for important information pertaining to OBIEE 11.1.1.5.x

11.1.1.6.x – Patch Set Updates

The OBIEE Patch Set Update (PSU) that were recently released are as follows:

  • OBIEE 11.1.1.6.4 PSU  – Sept 2012
  • OBIEE 11.1.1.6.5 PSU  – Oct 2012
  • OBIEE 11.1.1.6.6 PSU  – Nov 2012

11.1.1.6.6

Oracle Business Intelligence Enterprise Edition (OBIEE) 11.1.1.6.6 Bundle Patch was released Nov-12.

Bundle patches are a collection of controlled, well tested critical bug fixes for a specific product which may include security contents and occasionally minor enhancements. These are cumulative in nature meaning the latest bundle patch in a particular series would include the contents of the previous bundle patches released. A suite bundle patch is an aggregation of multiple product bundle patches that are part of a product suite.

For OBIEE on 11.1.1.6.0, it is planned for monthly run of bundle patch cadence. For the 11.1.1.6.6 bundle patch:

  • is now for download from My Oracle Support | Patches & Updates
  • includes 67 bug fixes.
  • is cumulative, so it includes everything in 11.1.1.6.1, 11.1.1.6.2, 11.1.1.6.2BP1, 11.1.1.6.4 and 11.1.1.6.5

Bundled Patch Details

  • 1 of 7 – Oracle Business Intelligence Installer [Patch 15844023]
  • 2 of 7 – Oracle Real Time Decisions [Patch 15844066]
  • 3 of 7 – Oracle Business Intelligence Publisher [Patch 14800665]
  • 4 of 7 – Oracle Business Intelligence ADF Components [Patch 15843961]
  • 5 of 7 – Enterprise Performance Management Components Installed from BI Installer 11.1.1.6.x [Patch 15844096]
  • 6 of 7 – Oracle Business Intelligence [Patch 14791926]
  • 7 of 7 – Oracle Business Intelligence Platform Client Installers and MapViewer [Patch 15839347]

Additional information may be found in the following Knowledge Articles: