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LIMRA and Equisoft report reveals 78% of global life insurers believe data readiness is the biggest challenge to getting value from AI

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Equisoft commissioned LIMRA to conduct research in collaboration with UCT to assess data readiness for AI in the life insurance industry. This report enables life insurance carriers to evaluate their data readiness and benchmark critical areas for data modernization investment and prioritization.

MONTREAL and PHILADELPHIA, Jan. 15, 2025 /CNW/ – Equisoft, a leading global digital solutions provider to the financial industry, and LIMRA, in collaboration with Universal Conversion Technologies (UCT), a global leader for insurance data services, published the findings of the Assessing Data Readiness for AI in the Life Insurance Industry report, which enables insurers to assess their data foundation and implement data strategies that will deliver significant organizational results.

The report found that 78% of respondents believe data readiness is the biggest challenge in getting value from artificial intelligence (AI) and that while most companies rank as “progressive” in terms of their data perceived readiness, 46% of respondents say they aren’t ready to implement AI.

“Data is foundational to everything a carrier does, now and in the future. But carriers aren’t necessarily data ready for AI because they haven’t yet considered a wholistic view of their data practices. Data quality and integrity are still work-in-progress,” said Mike Allee, President of UCT. “While insurers have done a good job building their data infrastructure and are making progress on aligning data strategy with business objectives, many have yet to realize AI’s vast potential because their data practices aren’t fully aligned with their AI strategy and therefore aren’t fully mature. You can’t be AI ready if you’re not also becoming data ready.”

At the heart of the report is the Global Data Readiness Benchmark, a data maturity model that analyzed carriers across six key dimensions: organizational alignment, infrastructure, sourcing and integration, quality and integrity, governance, and analytics. The model reveals the relative preparedness of life insurance carrier data for implementing AI solutions and enables carriers to assess and compare their position on the spectrum to their peers.

“High-quality data is the bedrock of any AI initiative, and without it, the outputs of AI systems will be fundamentally flawed. Bad data leads to bad AI,” said Kartik Sakthivel, Ph.D., Vice President & Chief Information Officer at LIMRA and LOMA. “It is imperative that organizations prioritize data governance, quality, and integrity to harness the full potential of AI and drive meaningful business outcomes.”

Other key global findings from the report include:

Global Maturity Score: Globally, carriers scored themselves “Progressive” in AI data readiness. Australian insurers led in their assessment of data readiness maturity across all dimensions, while North America scored somewhat lower than other regions.87% of respondents are currently using AI in some operational areas like underwriting, operations and new business. Machine Learning is the most widely adopted AI technology, with rapid future growth expected for Natural Language Processing and Large Language Models.Data governance is also a significant area of concern, with many reporting that governance guidelines have been created but adoption and accountability are low. This is clearly an opportunity for progress globally.Carriers that have already implemented AI solutions are encountering project challenges due to unexpected issues with technology, scaling challenges or the negative impact of erroneous assumptions made during planning.

Key regional findings from the report include:

Australia was a top performer across all dimensions, with 38% of carriers being “Optimal” in readiness.Latin America outperformed global benchmarks; 82% of carriers are “Progressive.”66% of United States life insurance carriers feel unready for AI, with organizational alignment as the strongest dimension and sourcing & integration as the weakest.Canada scored the lowest regionally with infrastructure as the strongest dimension, but sourcing & integration needs improvement.

Download the full Assessing Data Readiness for AI in the Life Insurance Industry report from Equisoft and UCT to learn more: https://hubs.li/Q032tX-q0 

LIMRA and LOMA
LIMRA and LOMA represent more than 700 members, including most of the world’s largest life insurance companies, in 71 countries worldwide. Together, they provide members with substantive, timely, and relevant research and education. LOMA is committed to business partnerships with over 700 members worldwide in the insurance and financial services industry. Their goal is to improve company management and operations through quality employee development, research, information sharing, and related products and services.

About Equisoft
Founded in 1994, Equisoft is a global provider of advanced insurance and investment digital solutions. Recognized as a valued partner by over 300 of the world’s leading financial institutions, Equisoft offers a complete ecosystem of solutions, from innovative front-end applications to extensive back-office services and unique data migration expertise. The firm’s flagship solutions include SaaS policy administration, CRM, financial needs analysis, financial planning, asset allocation, fund and portfolio analysis, quotes and illustrations, electronic application, agency management systems, as well as customer, agent and broker portals. Equisoft is also Oracle’s largest and most experienced partner for the OIPA platform. With its business-driven approach, deep industry knowledge, innovative technology, and multicultural team of experts based in North America, the Caribbean, Latin America, Europe, Africa, Asia and Australia, Equisoft helps its clients tackle any challenge in this era of digital disruption. For more information, please visit www.equisoft.com.

About Universal Conversion Technologies (UCT)
Founded in 1992, UCT is recognized as the only North American company dedicated to life insurance data migration. An Equisoft subsidiary, UCT is a one-stop partner and solution provider for data analysis and auditing, data cleansing, conversion, integration, balancing and reporting. The firm specializes in complex, high-volume data conversion projects that frequently involve multiple systems. UCT also offers its advanced proprietary data conversion toolset under licensing agreements. Having successfully completed over 350 data projects globally for hundreds of insurance companies and policy admin vendors, UCT has developed a unique expertise, methodology and technology stack that dramatically reduces the risk and cost associated with data projects. For more information, please visit www.uctcorp.com. 

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SOURCE Equisoft Inc.

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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

For more information:

SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

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SOURCE SOLAI Limited

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