Tools & Platforms
The AI trends driving business success
Tools & Platforms
DXC Technology’s AI-Powered Tendia Solution Slashes Bid Writing Time for Ventia
DXC Technology Company (NYSE:DXC) is one of the cheap IT stocks hedge funds are buying. On July 3, DXC Technology announced the deployment of an AI-driven bid writing solution called Tendia for Ventia. Ventia is one of the largest essential infrastructure service providers in Australia and New Zealand.
The new platform significantly reduces the time required to draft initial bid responses for major infrastructure contracts, cutting it from days to minutes, thereby enhancing Ventia’s ability to quickly respond to complex and high-value tenders. The Tendia solution was developed in collaboration with DXC and was deployed in just 4 months.
An IT security specialist inspecting a corporate network server for any malicious activity.
It works by automating the time-consuming process of sourcing and synthesizing information from extensive document libraries. Tendia allows their teams to focus on higher-value work, deliver more accurate proposals, and respond more quickly to multi-million-dollar tenders.
DXC Technology Company (NYSE:DXC) provides IT services and solutions internationally.
While we acknowledge the potential of DXC as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now.
Disclosure: None. This article is originally published at Insider Monkey.
Tools & Platforms
Retail accelerates investments in generative AI
Dive Brief:
- Over half (56%) of retail organizations have upped their generative AI investments compared to last year, according to a report by Capgemini.
- Retail is among the top five industries most advanced in adopting AI agents, with 18% having implemented AI agents or multiagent systems, according to the report.
- Across industries, around 40% of organizations tracking ROI expect to achieve positive returns from AI within one to three years.
Dive Insight:
Generative AI has dominated the retail landscape with its various use cases from content creation to consumer-facing tools and more. As companies like Walmart and Target lean further on generative AI, the tech is making its mark in both how customers interact with retailers and behind-the-scenes workflows.
“Gen AI and agentic AI have unique capabilities, making them suitable for specific, non-overlapping tasks,” Sahil Chandratre, head of strategy, analytics and consumer insights for Reliance Retail, said in a statement. “For example, Gen AI is capable of addressing front-end tasks like customer communication and scheduling, and agentic AI is great at handling backend and complex activities such as billing and reconciliation. Systematically deploying the two in relevant areas can lead to synergies and streamlined workflows.”
When H&M introduced an AI-powered HR agent to streamline recruitment and candidate experience, it reduced time-to-hire by 43%, the report found. Additionally, employee attrition decreased by 25%.
Deploying different uses for AI is a balance Walmart and Amazon, among other companies, have attempted to strike.
Walmart’s generative AI shopping assistant Sparky, announced last month, can summarize reviews and help shoppers plan purchases. Amazon continues to push its own generative AI, including by introducing its next-generation Alexa+ assistant in February. Overall, shoppers are increasingly buying from generative AI’s product recommendations.
Meanwhile, companies like Visa and Mastercard are racing to create agentic AI tools that will perform as personal shopping assistants.
The shopping journey has become far more automated than some consumers may prefer. A recent KPMG report found that some shoppers may not fully trust AI or be comfortable with advanced shopping technology, like allowing AI to analyze personal customer data.
Tools & Platforms
Can AI and tech help streamline prior auths? The current pain points
For many physicians, the prior authorization process is one of the most frustrating parts of practicing medicine. What was intended as a cost-control measure has become a significant administrative burden, taking time away from patient care and adding layers of complexity to routine clinical decisions. Physicians often find themselves spending hours navigating insurer requirements, tracking down documentation, and enduring delays that can negatively impact patient outcomes.
But artificial intelligence may be part of the solution.
We spoke with Brad Boyd of BDO USA about how new technologies are being developed to streamline and even automate parts of the prior authorization process. From reducing paperwork to identifying which procedures are likely to be approved, AI tools are showing promise in helping practices manage approvals more efficiently—and with less stress.
AI systems can now integrate with electronic health records to gather relevant clinical data, match it against payer criteria, and generate documentation in real time. Some platforms can flag missing information or alert staff to likely denials before they happen. Others can help determine when prior authorization isn’t required at all, eliminating unnecessary steps.
While not a silver bullet, AI offers the potential to reduce the time and cost associated with prior authorizations. And as regulations continue to push for greater transparency and speed in the process, many in the industry believe AI will play a critical role in helping practices adapt.
In this episode, Boyd discusses the biggest pain points of the prior authorization process.
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