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Domino Data Lab and Appsilon Partner to Speed AI to Production for Life Sciences

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Two companies already collaborating with the world’s largest pharma organizations are now working together to move open-source AI into regulated production

LONDON, June 25, 2026 /PRNewswire/ — REV 2026 — Domino Data Lab, provider of the unified platform to build, scale, and govern AI-powered applications for the most regulated enterprises, today announced a new collaboration with Appsilon, a global technology partner for life sciences companies specializing in open-source software and AI solutions for pharmaceutical and life sciences.

The alliance gives joint customers a more complete path from R and Python development to validated production, combining Appsilon’s implementation expertise with Domino’s platform, where their data science teams already work.

Most life sciences organizations are running AI in environments that weren’t built for it. Data scientists quickly adopt new tools, but without validated infrastructure, work stalls before it ever reaches production. This partnership closes that gap.

For joint customers, that means access to Appsilon’s deep pharma expertise in R and Python development, SCE deployment, and SAS-to-open-source migration, all delivered in Domino with governance built in.

“Most life sciences organizations have data scientists who are ready to build. What’s missing is a validated environment that lets them get work into production,” said Ricky Mann, Chief Solutions Officer, Domino Data Lab. “Appsilon has spent years solving that implementation problem for some of the largest pharmaceutical companies in the world. This partnership means Domino customers can tap that expertise directly inside the platform, with the governance regulators require.”

“The bottleneck is infrastructure that can’t keep pace with what teams are trying to build,” said Olga Mierzwa-Sulima, CEO of Appsilon. “What they need is a governed path to production that holds up in an audit. Domino is the right platform to deliver that at scale, and this partnership means Appsilon’s implementation expertise is now part of what Domino customers can access.”

That commitment is reflected in capabilities that people can build with today. Domino’s extensions framework lets partners embed their tools and workflows directly into the platform. Appsilon’s Axon.R is the first partner-built extension, an R package validation tool developed with the Pharmaverse Council and built on the R Validation Hub’s risk-based methodology. Life sciences teams get a compliance-ready validation workflow without leaving the environment where their work lives.

Additional Resources

Learn more about the latest life sciences-focused innovations in the Domino Enterprise AI Platform.Read the Domino Blog for customer successes and industry insights.Follow Domino on LinkedIn and X.

About Domino Data Lab

Domino Data Lab partners with the world’s most regulated enterprises as they build, scale, and govern AI-powered applications. From statistical computing to agentic AI, organizations use Domino’s AI platform to develop new therapies, protect citizens, and secure financial markets — under the most complex regulatory requirements. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, UBS, and other leading investors. Learn more at domino.ai.

About Appsilon

Appsilon is a premier technology partner for life sciences companies, delivering open-source, AI, R and Python solutions, implementing cloud-based statistical computing environments, and supporting SAS-to-Open Source migration to accelerate drug development in regulated settings. Trusted by 8 of the top 10 global pharma companies, Appsilon combines deep domain expertise with state of the art platform engineering to help teams modernize clinical analytics without compromising GxP compliance. Learn more at appsilon.com.

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SOURCE Domino Data Lab

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Speridian Technologies Launches FinOps for AI Offering to Help Enterprises Turn AI Investment into Measurable Efficiency and Growth

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– A framework that gives finance and engineering teams visibility, discipline and governance to capture AI’s efficiency gains at a time when AI spend is growing up to four times faster than the value enterprises realize from it –

ALBUQUERQUE, N.M., June 25, 2026 /PRNewswire/ — Speridian Technologies, a global consulting and technology services firm, today announced the launch of its FinOps for AI offering, a structured engagement model that helps organizations convert AI spending into measurable business efficiency, stronger margins and faster growth. The practice helps organizations answer “how do we control AI spend?” with a sharp focus on Token Cost Optimization (TCO): the discipline of tying every token consumed to the value it creates.

Across every sector, the mandate is the same: do more with less. AI has quickly become the most powerful tool to reach efficiency. But unlike flipping on a utility, AI is not unlimited or free. As organizations move beyond experimentation into full-scale production, the cost of running AI at scale is variable, often invisible and can grow exponentially as use cases multiply.

“In both the public and private sectors, organizations are discovering that scaling AI is fundamentally different from piloting it,” said Sourav Roy, vice president at Speridian. “Token consumption grows exponentially, costs become unpredictable, and finance teams are left without the visibility they need to connect spend to results. Our approach to FinOps brings the same discipline to AI that we brought to cloud infrastructure adoption a decade ago. This is about getting the most value from every dollar.”

Token consumption is highly variable, frequently invisible to finance teams, and can grow exponentially as AI spreads across the enterprise. Speridian’s framework targets four major cost drivers most enterprises overlook: input vs. output tokens, the modality premium, the model tier tax, and context window creep.

“What is needed is a structured, cross-functional approach that brings engineering and finance together to ensure AI spend translates into real value in an efficient manner,” continued Roy.

“Harnessing and realizing AI’s efficiency depends on a simple principle: you cannot improve what you cannot measure,” said Speridian’s Chief Executive Officer, Ali Hasan. “There is advantage when you track AI usage along with what it produces, and how efficiently it converts spend into value.”

Speridian’s approach addresses cost optimization across three layers: design-time optimization, run-time optimization, and governance. Within this framework, Speridian deploys six proven optimization techniques — spanning prompt optimization, semantic caching and intelligent model routing — to drive measurable savings.

Engagements are delivered in three phases:

Assess: baseline current AI spend, identify token waste, and surface quick wins.Optimize: implement caching, model routing and prompt improvements for measurable cost reduction.Govern: build ongoing FinOps capability — dashboards, policies, chargeback and team enablement.

“Government agencies and enterprises alike are investing significant resources in AI, but many need structure in place to manage spend at scale,” continued Hasan. “Our framework gives clients visibility into where every dollar is going, techniques to reduce waste and governance to scale initiatives confidently. This is how AI can become a measurable driver of efficiency and growth.”

About Speridian 

Speridian Technologies is a global consulting and technology services firm that helps enterprises and public sector organizations modernize operations, enhance customer experience and accelerate digital transformation through advisory, implementation and managed services. With deep industry expertise and capabilities spanning AI, automation, cloud, analytics and enterprise platforms, Speridian delivers outcome-focused solutions that drive measurable business value. For more information about all of Speridian’s services and solutions, please visit www.speridian.com

Contact:
Catherine Riedel
Chief Public Affairs Officer
312-209-0250
catherine.riedel@speridian.com

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Sungrow Launches SG510HX & MVS Turnkey Solution for Enhanced Utility-Scale PV Lifecycle Value

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MUNICH, June 25, 2026 /PRNewswire/ — Sungrow, the globally leading PV inverter and energy storage system (ESS) provider, unveiled the SG510HX & MVS Turnkey Solution at Intersolar Europe 2026. The solution integrates the SG510HX string inverter and the MVS7440-LV medium-voltage station in a native system architecture, reducing LCOE by up to 1% while delivering advanced safety and grid-forming capabilities, and ultimately enhancing lifecycle value for utility-scale PV plants.

Maximizing Lifecycle Value and Project Economics

The SG510HX inverter delivers a maximum output of 511.5 kW and achieves a 28% increase in power density, enabled by next-generation SiC devices, third-generation cooling technology, and high-performance magnetic materials. In parallel, AI-driven power optimization enhances active power delivery under grid-support scenarios, helping increase overall energy yield and project returns.Reducing BOS costs by up to USD 180,000 per 100 MW project, the solution minimizes investment in mounting structures, cables, and balance-of-system equipment by combining a long-string design, a 7.44 MW+ large-block architecture, and a 1000 V AC system.Delivering COD 15 days earlier for a typical 100 MW project, off-grid commissioning enables full system verification using PV power and eliminates the need for diesel generators. The MVS7440-LV is also delivered pre-installed and pre-commissioned, further reducing on-site integration effort.

From Device-Level Protection to System-Level Safety
The solution is built on a multi-layer safety and protection architecture designed to ensure reliable operation under all operating and environmental conditions.

Triple-layer Redundant DC Protection. The SG510HX inverter is equipped with Smart Shutdown Solution 3.0. Built on a mechanical switch and an electronic backup switching architecture, it rapidly interrupts fault current under extreme conditions, reducing backfeed risk. Primary and secondary intelligent trip switches ensure automatic disconnection during fault incidents. A Smart Lockout mechanism further enhances safety by ensuring reliable fault isolation and preventing unintended re-energization before faults are cleared.  All-Condition Lightning Protection Across the Entire Lifecycle. Unlike conventional designs focused mainly on standby states, Sungrow’s approach extends protection across the entire project lifecycle, including construction, standby, and grid-connected operation, validated through CGC certification testing.

In addition, this solution enables bidirectional communication and coordinated protection during insulation faults or temperature anomalies, allowing real-time information sharing and system-level response to enhance overall safety. In contrast, conventional standalone architectures rely on independent device-level responses, which may result in delayed or uncoordinated protection and a higher risk of fault escalation.

Grid-Forming for Stable Operation Across Grid Conditions
As power systems evolve with higher renewable penetration, grid strength varies widely across regions, requiring technologies that ensure stability under diverse conditions. Powered by Sungrow’s grid-forming technology, this solution enhances grid stability through flexible inertia support (<5 ms) to reduce fluctuations, instant reactive power response for stronger voltage support, and millisecond-level damping control across the 0.1–100 Hz range to suppress oscillations and minimize protection-related shutdown risks.

Smart O&M for Simplified Lifecycle Management
The SG510HX & MVS Turnkey Solution streamlines deployment and reduces O&M complexity across the project lifecycle. One-click remote configuration enables fast parameter validation and simplified commissioning, while Smart IV Diagnosis 2.0 allows full-site inspection via a laptop without dedicated servers, lowering operational costs. AI-driven duct cleaning automatically removes dust and blockages through airflow reversal, reducing manual maintenance. Integrated cold-shrink cable termination and a dust- and insect-resistant design further minimize installation and upkeep effort.

The solution reflects the utility-scale solar sector’s shift toward improved lifecycle economics and higher operational efficiency, where system-level integration is key to reliable and cost-effective power delivery. Backed by full-stack R&D capabilities, Sungrow continues to advance integrated solutions for global utility-scale PV deployment.

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Americans embrace AI and social discovery, but trust still determines how they buy, reveals ESW Signals report

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47% of US consumers are comfortable using AI for price comparison, while only 24% are comfortable with AI-powered payments45% of Americans discover products through social media, but only 27% trust social commerce checkout experiences39% of US consumers say discretionary spending has decreased over the past year, compared with 31% who say it has increasedHalf of US consumers who feel unconfident about their household finances are trading down to cheaper options, compared with 14% of financially confident shoppers

NEW YORK, June 25, 2026 /PRNewswire/ — US consumers are continuing to spend, but growing differences in financial confidence are reshaping how Americans shop, pay and engage online, according to new data from ESW, the international growth engine for ambitious brands.

ESW works with internationally recognized brands, helping them scale through trusted, localized ecommerce experiences across global markets.

The findings form part of the global launch of ESW Signals, ESW’s new insights platform exploring evolving consumer behavior and international commerce trends worldwide.

US consumers are most comfortable with AI when it improves convenience or helps find value, with 47% open to AI-led price comparison and 44% to AI-powered deal finding. Only 24% are comfortable with AI-powered payments, while just 10% say they would allow AI-led auto-replenishment.

Millennials and Gen Z consumers are significantly more open to conversational AI shopping, at 34% and 29% respectively, compared with just 8% of Boomers.

Social platforms continue to play a growing role in how Americans discover products online, with 45% of Americans using social media to discover products, rising to 76% among Gen Z shoppers. However, only 27% trust social commerce checkout experiences. Trust in influencer recommendations is also highly generational, with 43% of Gen Z shoppers saying they trust influencers, compared with 11% of Boomers.

US ecommerce behavior remains anchored in retailer-controlled channels, with 37% preferring to shop directly through brand or retailer websites, compared with 7% who prefer shopping mainly via social platforms. Among Boomers, preference for retailer websites rises to 52%.

The survey of almost 24,000 consumers found that 39% of US consumers say discretionary spending has decreased over the past year, compared with 31% who say it has increased. Half of consumers who feel unconfident about their household finances say they are trading down to cheaper options, compared with 14% of financially confident shoppers.

Regional differences are visible across the data, with consumers in the West less likely to be trading down to cheaper alternatives (19%) than those in the Midwest and South (26%).

International shopping remains relatively limited across the US market, with only 12% of consumers purchasing from overseas retailers frequently, while 23% say they never shop internationally online. More than half (51%) say long delivery times discourage international purchases, while 49% cite shipping costs and 39% point to fraud or legitimacy concerns. Consumers in the West are the most internationally engaged, while those in the Midwest and Northeast are more likely to be deterred by delivery costs, shipping friction and trust concerns. The US also remains resistant to paid returns models, with 35% saying they would avoid retailers introducing small return fees.

Payment trust remains concentrated in traditional methods, with cards the dominant and most trusted payment method and PayPal consistently ranking second. One in five US consumers have used BNPL services in the past year, rising to 31% among Millennials, although BNPL remains one of the least trusted payment methods for international purchases.

Recommerce is also gaining traction among younger consumers with 25% of Gen Z consumers now buying second-hand items frequently, while cost continues to outweigh sustainability as the primary motivation purchasing.

The US findings also reflect broader trends identified across the global ESW Signals report. While US consumers remain comparatively cautious and value-focused, markets across the Middle East and Asia are showing significantly stronger spending momentum, with 67% and 61% of consumers respectively reporting increased discretionary spending.

Consumers in the Middle East also show materially higher openness to AI-powered shopping and social commerce checkout experiences, while European and North American consumers remain more cautious and trust-oriented at the point of purchase.

Eric Eichmann, CEO, ESW, commented on the launch of the report: “The findings of our ESW Signals report show that US consumers are willing to embrace new ways of discovering products and finding value. Nearly half are comfortable using AI for price comparison and 45% discover products through social media, but confidence drops sharply when those experiences move closer to checkout and payment.

But not all US consumers are behaving the same way. Our data shows that consumers in the West are generally more open to new shopping behaviors, while much of the Midwest remains more cautious and value focused. Consumers in the West continue to show greater openness to social commerce, AI and international shopping, but trust, transparency and reliability still matter across every region.

That gap between growing openness to new shopping experiences and continued caution at the point of purchase is becoming increasingly important globally as ecommerce growth accelerates in markets across the Middle East and Asia, where consumers are showing stronger spending momentum and greater openness to new digital shopping behaviors. For American brands expanding internationally, the opportunity is significant, but so is the need to adapt to different customer expectations market by market.”

About ESW
ESW is the international growth engine for ambitious brands. We absorb the complexity of cross-border commerce — payments, compliance, duties, localization, shipping and returns — so brands can grow globally with confidence. Our enterprise-grade platform is built for scale but configurable for the world’s most complex brands. We architect end-to-end international operations across 200+ markets that fit each brand’s exact needs, removing the operational and compliance risk that stands between ambition and growth. 

ESW Signals Methodology
ESW Signals 2026 is based on over 23,000 interviews across 18 markets in Q1 2026. The study examines consumer behavior across discretionary spending, international shopping, payments, social commerce, AI and ecommerce experience expectations. The report combines consumer survey research with ESW’s aggregated transaction data and expert perspectives on international ecommerce. Survey data shows where consumer expectations are shifting; ESW transaction data shows where those expectations affect checkout behavior, payment performance and cross-border conversion. https://esw.com/resources/signals

Media contact:

Conor Sheridan
conor.sheridan@edelman.com 
+353 86 031 0800

 

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