logo
Gradiant Leads Sustainable Water Solutions for the Data Centers Powering AI

Gradiant Leads Sustainable Water Solutions for the Data Centers Powering AI

Business Wire13-05-2025

BOSTON--(BUSINESS WIRE)-- Gradiant, a global leader in advanced water and wastewater solutions, has been awarded two new contracts by leading technology companies to design and deploy sustainable water solutions at new data centers in the United States and Indo-Pacific. These facilities—critical to powering AI and cloud infrastructure—are increasingly located in some of the most water-stressed regions in the world.
Gradiant's solutions will enable these developments to meet aggressive sustainability goals while minimizing their impact on local water resources and communities. The projects underscore Gradiant's growing role as the go-to water partner for the world's most important AI infrastructure owners and operators.
As the world accelerates toward an AI-first future, data centers—the invisible engines powering cloud computing, AI, and global connectivity—are emerging as both drivers of innovation and major consumers of water. An average 100-megawatt data center in the U.S. uses as much water each day as 6,500 households. Globally, data center water use is projected to more than double by 2030, reaching 1,200 billion liters annually.
Many of these new sites are being built in water-scarce regions such as the U.S. Southwest, the Middle East, and Australia—driven by proximity to energy, land, and local incentives. With growing regulatory pressure and environmental scrutiny, water strategy has become mission-critical.
'In today's climate reality, building a data center without a water strategy is not an option,' said Anurag Bajpayee, CEO of Gradiant. 'These facilities are as thirsty as they are power hungry. Our clients are asking how to eliminate wastewater, how to operate in drought-prone regions without harming local communities, and how to do it all while scaling AI infrastructure at lightning speed.'
Gradiant is uniquely positioned to help data center owners and operators meet this moment. With a full-stack technology portfolio and deep expertise in complex industrial water, the company delivers complete site-wide peace of mind.
Gradiant's solutions include:
Water Recycling & Reuse: Zero liquid discharge (ZLD) technologies recover and reuse 99% of process water onsite—dramatically reducing the need for freshwater withdrawals and preserving local water supplies.
AI Optimization (SmartOps AI): Uses real-time monitoring and AI-powered analytics to optimize water and wastewater operations, lower OPEX, and reduce unplanned downtime.
CURE Chemicals: Expert formulations reduce the use of traditional treatment chemicals, lowering the overall environmental footprint while enhancing system performance and reliability.
'Only Gradiant can deliver complete site-wide peace of mind—a fully integrated and holistic solution that unites process technology, AI, and chemicals through a single trusted partner,' said Prakash Govindan, COO of Gradiant. 'Our customers no longer need to coordinate across multiple parties. With Gradiant, they gain a single, trusted partner optimizing every drop of water across their operations. This is water innovation without compromise.'
Gradiant's technologies are helping data centers operate in the harshest conditions—without compromising sustainability or performance. As the digital economy accelerates, Gradiant is enabling what's possible for water in tech infrastructure.
About Gradiant
Gradiant is a Different Kind of Water Company. With a full suite of differentiated and proprietary end-to-end solutions for advanced water and wastewater treatment powered by the top minds in water, the company serves its clients' mission-critical operations in the world's essential industries, including semiconductors, pharmaceuticals, food & beverage, lithium and critical minerals, and renewable energy. Gradiant's innovative solutions reduce water used and wastewater discharged, reclaim valuable resources, and renew wastewater into freshwater. The Boston-headquartered company was founded at MIT and has over 1,300 employees worldwide. Learn more at gradiant.com.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Will AI ‘completely rewire' loyalty programs?
Will AI ‘completely rewire' loyalty programs?

Yahoo

time16 minutes ago

  • Yahoo

Will AI ‘completely rewire' loyalty programs?

This story was originally published on CX Dive. To receive daily news and insights, subscribe to our free daily CX Dive newsletter. A growing number of brands are using AI to improve customer experience with loyalty programs and streamlined operations. These brands are using the technology to offer more personalized experiences and automate highly repetitive, manual processes. The technology is a game-changer, particularly for customer analytics. Loyalty program leaders have been able to segment customer data for years, allowing them to target offers to specific groups, said Patricia Camden, EY Americas loyalty leader. 'But with those segments, you're still just talking to a broad, generalized group that you've put into a bucket.' AI, on the other hand, takes it a step further. The technology enables brands to target offers to specific individuals by helping them understand 'what each human values' instead of 'pushing the same reward to everyone' or those within a particular segment, Camden said. AI also allows loyalty programs to actively shape consumer behavior and habits while deepening a brand's relationship with a customer, Camden said. 'It really allows the brand to tailor the rewards, messaging, offers and experiences to individual preferences and behaviors in real time,' Camden said. 'That's probably the most powerful thing about AI and how it can improve loyalty.' A fast casual restaurant, for example, could send a customer unique offers for new items to help 'unlock a secret reward' designed for that customer or provide them additional points for their loyalty, Camden said. 'It's really loyalty gamified but in a way that feels personal, not gimmicky,' Camden said. Those changes have the potential to disrupt existing customer relationships and establish new ones. 'Loyalty will become less about what a brand wants to push and more about how consumers want to engage,' Camden said. 'AI is going to completely rewire the role loyalty plays in the customer experience.' AI can help loyalty program leaders stretch their limited resources by helping create content for hyperpersonalized offers and optimizing campaign spend. 'It really saves marketing teams time and budget,' Camden said. Instead of assigning staff such tasks as exchanging and reconciling transactions between program partners or providing individual customer preferences to hotels and retailers, AI can manage such tedious tasks, said Brendan Boerbaitz, senior manager at Deloitte Consulting. AI can also improve predictive analytics. One EY client, for example, uses its loyalty program to ensure that customers renew their relationship with the brand each year and now uses AI to identify and target offers to customers who are likely to churn, Camden said. More and more loyalty programs are using AI for fraud detection, too. Unlike humans, AI can quickly 'connect dots at scale' to ensure points and benefits are issued correctly, said John Pedini, principal analyst at Forrester. 'It can help flag unusual patterns before they become expensive problems,' Camden said. However, before integrating AI into their customer loyalty programs, brands must 'develop use cases that provide clear and measurable value,' including personalization, segmentation, variant testing and low- or no-code campaign development, Pedini said. It's best to focus on applications of AI that take an existing process and make it better, more efficient or cheaper, Pedini said. Starbucks, for instance, uses its proprietary AI platform dubbed Deep Brew 'to drive automation, operational efficiency and loyalty engagement by identifying and incentivizing specific members with personalized offers and rewards,' Pedini said. But not all use cases need AI. Forcing AI on business problems that could be solved via more conventional, lower-cost solutions is a 'big pitfall,' Boerbaitz said. When deciding whether to implement AI, Boerbaitz urges brands to consider the following questions: If AI were stripped from the document, would it be clear what problem is being solved? Do I truly understand the specifics of the problem we're solving down to the level of the user? Is this problem underserved by other tools and techniques? AI adoption is a 'team sport' that requires cooperation to avoid redundant work and conflicting initiatives, and build data sets, tools and models for multiple applications, Boerbaitz said. 'It takes engineering, architecture, strategy, change management, data and loyalty teams all coming together to make AI programs in loyalty successful,' Boerbaitz said. It's also important not to rush the process. Brands should avoid launching an AI model too soon because the technology depends on high-quality data to deliver on its promises. Launching a model with outdated or incomplete data could lower accuracy and create 'more issues than it solves,' Pedini said. 'The worst thing you can do is have incomplete data sets,' Camden said. 'If the AI makes assumptions based on what it knows, you can end up sending something that is not appropriate or not what the client expects to see.' That can take away the 'emotional element' of loyalty programs, Camden said. 'If a brand lets AI take the wheel without real human guardrails, the customer experience could start to feel impersonal, off base and overcurated,' Camden said. Loyalty program managers should ensure their data is comprehensive, including all channels and touch points, and properly labeled, Pedini said. Sound data governance of policies, standards and procedures is also vital to ensuring privacy, preventing bias and complying with regulations, Pedini said. It's also essential for humans to be involved in loyalty programs because first-party data can help businesses improve their product strategy, brand positioning and service design. However, that won't happen 'if the machines take over,' Camden said. 'AI should not be used to replace our thinking.'

87% of business leaders think AI agents will replace human employees if companies don't make big moves to upskill their workforce
87% of business leaders think AI agents will replace human employees if companies don't make big moves to upskill their workforce

Yahoo

time16 minutes ago

  • Yahoo

87% of business leaders think AI agents will replace human employees if companies don't make big moves to upskill their workforce

Good morning! Companies are scrambling to introduce AI agents into their workflow at a rapid clip. But workers are afraid that this tech revolution may actually lead to their own professional demise, and a new study shows that they have good reason to be worried. Around 87% of business leaders believe AI agents will displace workers unless companies are willing to upskill their employees, according to management consulting firm KPMG's latest AI Quarterly Pulse Survey. That includes providing additional training, creating new goals, or even changing their roles. 'Our clients are no longer asking 'if' AI will transform their business, they're asking 'how fast' it can be deployed,' notes Todd Lohr, head of ecosystems at KPMG. 'This isn't just about technology adoption, it's about fundamental business transformation that requires reimagining how work gets done and how it is measured.' The deployment of AI agents across organizations has tripled since the fourth quarter of last year, according to the report. Around 82% of business leaders believe that AI agents will become valuable contributors within the next year, and the same number believe these agents will completely change the business landscape in the next two years. CEOs have recently become bolder about saying that AI could lead to leaner human workforces. The CEO of Anthropic said earlier this year that AI could eliminate half of entry level roles. The CEO of language learning app Duolingo told staff in April that they could only hire a new person if they first proved the task couldn't be done with AI. And Meta recently announced plans to replace up to 90% of its human employees who review the platform's privacy and societal risks with AI. Upskilling employees might be easier said than done, though. While two-thirds of leaders expect employees to update their AI skills, only a third say the companies they work for are providing policies around how the technology should be used, according to recent research from talent advisory The Adecco Group. A separate study from management consulting firm Oliver Wyman found that while 79% of workers want AI training, only 57% say such upskilling efforts made by their company have been inadequate. 'As employers, we have a responsibility to help prepare current and future workers for the transition to a new era of work,' writes Edwige Sacco, head of workforce innovation at KPMG. 'Investments in human-centric change management, modern ways of learning, proactive upskilling, and new human-AI collaboration models are essential for unlocking the long-term return on AI investments.' Brit This story was originally featured on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Allstate to Hold Q2 2025 Earnings Call July 31
Allstate to Hold Q2 2025 Earnings Call July 31

Associated Press

time20 minutes ago

  • Associated Press

Allstate to Hold Q2 2025 Earnings Call July 31

NORTHBROOK, Ill.--(BUSINESS WIRE)--Jun 30, 2025-- The Allstate Corporation (NYSE: ALL) will host a conference call and webcast at 9 a.m. ET on Thursday, July 31, 2025, to discuss second-quarter 2025 financial results. Allstate plans to file its results via a Form 8-K with the Securities and Exchange Commission (SEC) after 4:15 p.m. ETon Wednesday, July 30. The earnings release and investor supplement will be accessible shortly after filing on the SEC's website ( ) and Allstate's Investor Relations website ( ). Get Allstate financial news at About Allstate The Allstate Corporation (NYSE: ALL) protects people from life's uncertainties with a wide array of protection for autos, homes, electronic devices, and identities. Products are available through a broad distribution network including Allstate agents, independent agents, major retailers, online, and at the workplace. Allstate is widely known for the slogan 'You're in Good Hands with Allstate.' For more information, visit View source version on CONTACT: Nick Nottoli Media Relations [email protected] Gobin Investor Relations (847) 402-2800 KEYWORD: UNITED STATES NORTH AMERICA ILLINOIS INDUSTRY KEYWORD: PROFESSIONAL SERVICES INSURANCE FINANCE SOURCE: The Allstate Corporation Copyright Business Wire 2025. PUB: 06/30/2025 11:03 AM/DISC: 06/30/2025 11:03 AM

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store