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AI Training Now a Priority for At Least 50% of Enterprises; Expanding Initiatives to Business and Support Teams Reveals Great Learning’s Report

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Four out of five companies experienced reduced hiring costs in FY24 due to effective internal talent development64% focused on developing emerging skills in early-career professionals to drive business growthLooking ahead, organisations are continuing to prioritise training in Artificial Intelligence, Data Science, and Cyber Security, reflecting the ongoing demand for these critical skills

BANGLORE, India, Sept. 16, 2024 /PRNewswire/ — Great Learning (GL), a leading global edtech company for higher education and professional training, has released the “Workforce Skills Evolution Report 2024-25”. Based on trends observed among Great Learning’s client partners across various sectors and insights from a survey of over 100 learning and development (L&D) and business unit heads, this report offers a comprehensive look at key training trends and forecasts for FY25. It synthesises these insights to illustrate how organisations plan to harness talent development to drive growth, foster innovation, and build a sustainable competitive advantage.

GENERATIVE AI TRAINING REQUIREMENTS FOR ORGANISATIONS TO EXPAND BEYOND TECHNICAL ROLES IN FY25

Interest in Generative AI surged across sectors in FY24, driven by its potential to enhance decision-making, foster innovation, and improve competitiveness. In FY25, at least 50% of organisations plan to advance their teams’ skills in Generative AI, responding to strong market demand. Notably, enterprises are set to broaden GenAI training beyond technical roles, aiming to include a wider array of functions to automate repetitive tasks and boost efficiency.

Operations emerged as the leading non-tech function targeted for GenAI upskilling, followed by Customer Service and Human Resources. This strategic shift aims to automate repetitive tasks, boost efficiency, and reduce human dependency (potentially impacting labour costs). Overall, this trend reflects a broader organisational move towards integrating AI-powered solutions to drive innovation and operational improvements across various functions.

OVER 58% OF ORGANISATIONS REPORT INCREASED L&D BUDGETS IN FY25

In FY24, four out of five companies reported reduced hiring costs due to effective internal talent development. For 64% of these enterprises, the main goal of investing in workforce training was to cultivate emerging skills among early-career professionals to fuel business growth. Meanwhile, 36% of organisations focused on enhancing productivity, innovation, and creativity to improve overall effectiveness and foster a culture of innovation. Building on these trends and recognising the value of a skilled workforce, 58.5% of organisations in India have increased their L&D budgets in FY25.

AI, Data Science, and Cyber Security Remain Top Workforce Training Priorities for FY25

In FY24, Indian enterprises placed a strong emphasis on training in AI, Machine Learning, Data Science, and Data Engineering, with 76.6% of companies prioritising these areas. The IT sector led these investments, closely followed by firms specialising in analytics and digital solutions. This focus is expected to continue in FY25, as the survey shows that most organisations plan to increase their investment in training employees in these critical fields. This ongoing commitment underscores the essential role of data-driven insights and Machine Learning in advancing business innovation and operational efficiency.

For FY25, Data Science and AIML remain top priorities, particularly in the Consulting (44.4%) and Energy (41.7%) sectors, underscoring their drive for strategic decision-making and business innovation. Cyber Security continues to emerge as a crucial focus area in the BFSI sector in FY25, reflecting the need to protect sensitive data and comply with regulations. It is also significant in the IT/ITeS sector due to the extensive volume of digital transactions and data. Additionally, Cloud Computing is a key priority in both the IT/ITeS and Energy sectors, underscoring the growing importance of scalable and efficient digital infrastructure.

GCCS SHAPING FUTURE WORKFORCE TO BECOME INNOVATION HUBS

In FY24, Global Capability Centres (GCCs) concentrated their L&D strategies on enhancing agility and future-proofing their talent, with a focus on critical areas such as AI, Machine Learning, and Data Science. As we move into FY25, GCCs are set to maintain this emphasis on future-ready skills while broadening their L&D initiatives to include emerging technologies like Generative AI, Data Analytics, and Cloud Computing. This expansion aims to drive global innovation and boost organisational efficiency, positioning GCCs as pivotal hubs of technological advancement and operational excellence.

80% OF L&D PROGRAMS FOR EARLY-CAREER PROFESSIONALS LASTED 2-12 WEEKS IN FY24

More than 80% of L&D initiatives for early-career professionals, particularly in the IT/ITeS, Analytics/Consulting, and BFSI sectors, were structured as 2-12 week programs, with an average of 15 hours of training per week. These programs aimed to bridge the gap between academic learning and industry skill requirements. Meanwhile, over 67% of training for mid and senior-level executives in Manufacturing and Retail/E-commerce focused on data-driven decision-making and technical skills, typically requiring just a few hours per week to avoid disrupting productivity. For senior leaders, enterprises preferred 1-3 day capsule workshops that combined new technology training with leadership development.

Commenting on the report, Ritesh Malhotra, Enterprise Head at Great Learning, stated, “The report underscores a unanimous shift towards developing an adaptable workforce and moving away from a one-size-fits-all approach to training. Organisations now recognise that Generative AI training is crucial for achieving business objectives across all employee levels. By extending this training beyond traditional tech roles, companies are adopting a strategic L&D approach that enables their workforce to streamline processes, automate routine tasks, and drive innovation more effectively, resulting in significant cost savings. Today, Global Capability Centers (GCCs) are evolving from being mere recipients of change to active enablers of it. They are investing heavily in training for cutting-edge technologies like Generative AI, Data Analytics, and Cloud Computing to fuel global innovation and enhance organisational efficiency.”

About Great Learning

Great Learning is a leading global ed-tech company for professional learning and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world’s foremost academic institutions in various formats such as – certificate programs (ranging from 3-11 months), online degrees as well as hybrid degrees. Great Learning is able to leverage the highly qualified, world-class faculty at these universities together with its vast network of 7000+ industry expert mentors to deliver an unmatched learning experience for over 11 million learners from over 170 countries around the world.

Great Learning for Business, the enterprise arm of Great Learning, helps partner organisations build proficiencies in emerging skills at scale. Its consultative approach and experiential learning resonate with sectors like IT/ITES, BFSI, GCCs, Consulting & Analytics, e-commerce, and others. It offers talent transformation solutions that are industry-created and industry-focused, empowering organisations to achieve their business goals.

MEDIA CONTACT:
Navami Ajayan
navami.ajayan@greatlearning.in

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ATTOM ENHANCES RENTAL AVM WITH AI-POWERED MODEL COVERING NEARLY 100 MILLION U.S. HOMES

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Enhanced model expands coverage by about 40% and delivers a 5.9% median error on homes not yet listed for rent

IRVINE, Calif., Nov. 3, 2026 /PRNewswire/ — ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today announced enhancements to its Rental AVM, introducing an AI-powered model that estimates current monthly market rent for nearly 100 million U.S. single-family homes, condominiums, and townhouses, an increase in coverage of about 40%. The model delivers a 5.9% median absolute error on homes before they are listed for rent, helping businesses evaluate rental potential and make more informed decisions.

“Estimating rental values is difficult because leases are private and many homes have no rental history,” said Rob Barber, CEO at ATTOM. “With these enhancements, we’re extending the same approach driving ATTOM Intelligence, combining trusted property data with advanced AI and analytics, to many more homes, so customers get more meaningful insights and can make better-informed decisions.”

Key Enhancements Include:

Expanded Coverage: Rental estimates for nearly 100 million single-family homes, condominiums, and townhouses across all 50 states and the District of Columbia, a coverage increase of about 40%.Improved Accuracy: A 5.9% median absolute error on homes before they’re listed for rent, with calibrated low and high values that tighten as the evidence behind an estimate grows.AI-Powered Modeling: Multiple machine-learning models evaluate property characteristics, property value, rental history, and recent rental activity, weighing each based on the available evidence for a property.Listing-Based Training: The model is trained and benchmarked on observed rental listings, cleaned to remove duplicates, placeholder rents, and unrealistic prices.

“Our enhanced Rental AVM evaluates multiple sources of rental information and adapts to the evidence available for each property,” said Aaron Wagner, Head of Data Science at ATTOM. “That adaptability is what allows us to estimate rent for homes with no rental history and extend coverage to nearly 100 million properties, while keeping the ranges calibrated to the strength of the evidence behind each estimate.”

Built for Real-World Applications
ATTOM’s enhanced Rental AVM supports a range of business needs, including:

Real Estate Investors and Rental Operators: Screen acquisitions, evaluate rental potential, compare rental income with property values, and support rent-setting decisions.Mortgage Lenders and Insurers: Assess rental income for investment-property and DSCR loans, monitor portfolio exposure, and support loss-of-rent analysis.Real Estate Portals and AI Developers: Integrate rental estimates into property listings, investment tools, and AI-powered applications through ATTOM’s MCP Server.

Updated monthly to reflect new rental activity and changing market conditions, the enhanced Rental AVM is available through ATTOM’s APIs, bulk data licensing, Snowflake, Databricks, and MCP Server.

To learn more about ATTOM’s enhanced Rental AVM, visit the Rental AVM landing page or download the Rental AVM White Paper.

About ATTOM
ATTOM delivers AI-driven property intelligence built on the nation’s most trusted property data repository, covering 160+ million U.S. properties—99% of the population. Our engineered, multi-sourced, semantically rich real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics, AI applications, and AI agents through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data, enabling organizations to automate analysis, power intelligent workflows, and scale property intelligence across industries.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
949.502.8313
datareports@attomdata.com

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SOURCE ATTOM

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Staypineapple to Donate to American Humane Society’s Pups4Patriots™ in Honor of Veterans Day

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Hotel brand will donate a portion of November bookings to help veterans and retired first responders receive service dogs

KIRKLAND, Wash., Nov. 3, 2026 /PRNewswire/ — In recognition of Veterans Day, Staypineapple, the national boutique hotel brand, is supporting American Humane Society’s Pups4Patriots™ program. Throughout the month of November, Staypineapple will donate up to $5,000 on behalf of its guests from every Pineapple Pup Package booking and every booking made with military or government rates. The initiative supports the placement of specially trained service dogs with veterans and retired first responders living with post-traumatic stress (PTS) and/or traumatic brain injury (TBI), at no cost to recipients.

In recognition of Veterans Day, Staypineapple will donate a portion of November bookings to the Pups4Patriots program.

“Dogs have an incredible ability to bring comfort, connection and a renewed sense of purpose to our lives,” said Dina Belon, President of Staypineapple. “We’re proud to support American Humane Society’s Pups4Patriots program and help more of our nation’s heroes access the companionship and support of a service dog. We hope our guests will join us in making a difference through booking a stay this November.”

Pups4Patriots helps remove financial barriers to obtaining a specially trained service dog, matching eligible veterans and retired first responders with dogs trained to support their specific needs.

The impact of the program can be seen in the bond between Russell, a retired U.S. Army veteran and law enforcement officer, and his service dog, Nico. Through Pups4Patriots, Nico has become an important source of support in Russell’s life. As Russell shared, “Nico has brought me a renewed sense of living that I was very much struggling to find before meeting him.”

Through this initiative, Staypineapple hopes to help connect more of America’s heroes with life-changing canine companions to those who have served our country and communities.

To learn more or book a stay, visit Staypineapple.com.

About Staypineapple
Staypineapple is a brand of boutique hotels in urban markets across the U.S., managed by Staypineapple Hotels Inc., based in Kirkland, Wash. Known for personalized service and a warm welcome for people and pets alike, Staypineapple creates unique guest experiences that offer more than just a place to stay. It is a place Where Stays Become Stories. For reservations or more information, visit Staypineapple.com or call (866) 866-7977. Follow Staypineapple on Instagram, Threads, TikTok and Facebook.

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SOURCE Staypineapple

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Terakeet’s Mac Cummings Named to ADWEEK Innovator 50 List

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Recognition honors Cummings’ leadership in transforming Terakeet and building a new model for enterprise reputation management in the age of generative AI

SYRACUSE, N.Y., Nov. 3, 2026 /PRNewswire/ — ADWEEK today announced that Terakeet CEO & Co-Founder Mac Cummings has been named to the 2026 ADWEEK Innovator 50 list, which recognizes leaders driving innovation and shaping the future of marketing, media and technology.

Cummings was recognized for his leadership and vision in anticipating how generative AI would reshape enterprise reputation and positioning Terakeet to address the emerging challenges facing the Fortune 100 and its executives.

Over the past year, Cummings has led Terakeet’s transition from enterprise search marketing to global reputation management. The shift expanded the company’s focus beyond search visibility to the ways brands and executives are represented across search engines, generative AI platforms and the broader digital ecosystem.

“AI has changed what’s at stake for the Fortune 100,” said Cummings. “Reputation risk now moves across search and AI at the same time, and most brands don’t have the infrastructure to manage it. We built the Reputation Operating System to give them the technology, intelligence and expertise to understand those risks and strengthen their position before issues escalate.”

To better serve these customers, Cummings directed investments in proprietary technology, expanded the company’s expertise in cybersecurity and reputation risk, and established new strategic partnerships.

The recognition comes as Terakeet celebrates its 25th anniversary, marking a quarter century of evolution alongside major shifts in technology and the digital landscape. Cummings co-founded Terakeet in 2001 and has led the company through each stage of its growth, from its origins in search to its current focus on enterprise reputation management.

“The responsibility of a leader isn’t to protect the business model that worked yesterday but to recognize where the market is going and build for it,” Cummings said. “For Terakeet, that has meant looking past short-term fixes and building the infrastructure enterprises need to understand risk and protect trust in the AI era.”

About Mac Cummings

Mac Cummings is the CEO and Co-Founder of Terakeet. He co-founded the company in Syracuse, New York, in 2001 and has led its evolution across search marketing, digital strategy and enterprise reputation management. Today, Cummings oversees Terakeet’s business strategy and the continued development of its reputation management capabilities and technology.

About Terakeet

Terakeet is an enterprise reputation management company that helps brands and executives understand and manage how they are represented across search engines, generative AI platforms and the broader digital ecosystem. Founded in 2001, the company combines proprietary technology, intelligence and strategic expertise to support enterprise reputation programs.

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SOURCE Terakeet, LLC

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