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ATrack Solutions Named Business Affiliate of The Council of Autism Service Providers (CASP)
ATrack Solutions Named Business Affiliate of The Council of Autism Service Providers (CASP)

Yahoo

time07-05-2025

  • Business
  • Yahoo

ATrack Solutions Named Business Affiliate of The Council of Autism Service Providers (CASP)

ST. AUGUSTINE, Fla., May 7, 2025 /PRNewswire/ -- ATrack Solutions, a leading provider of ABA-focused clinical and operational software, is proud to announce its official selection as a Business Affiliate of the Council of Autism Service Providers (CASP). CASP is a nationally recognized organization committed to elevating the quality of care and operations within the autism services field. ATrack offers tools for data collection, supervision, documentation, treatment planning, and assessments—all aimed at improving care quality and streamlining workflows in autism services. CASP's Business Affiliate designation recognizes organizations that provide meaningful support and solutions to autism service providers. With over 80,000 professionals represented through its member agencies, CASP plays a critical role in fostering excellence, innovation, and collaboration across the industry. At ATrack, we believe that technology should simplify the work of providers; not complicate it. That's why our platform was built by clinicians, for clinicians, offering smart tools for real-time supervision, streamlined documentation, integrated assessments, and customizable treatment planning. Joining CASP as a Business Affiliate reinforces our commitment to helping providers work more efficiently, make data-driven decisions, and ultimately deliver better outcomes for the individuals and families they serve. "We're honored to join CASP as a Business Affiliate and stand alongside organizations that are shaping the future of autism services. CASP is at the vanguard of clinical excellence, innovation, and the standardization of best practices and we're proud to support their mission of raising the bar across our field. At ATrack, we share that vision. With a clinical-first approach and software built by clinicians for clinicians, our mission is to create intuitive, outcome-driven tools that empower providers to deliver exceptional care with confidence. This partnership reflects our deep commitment to supporting professionals on the front lines and helping them scale their impact through smarter, more adaptive technology." — Yakov Halberstam, CEO, ATrack Solutions As part of this new relationship, ATrack looks forward to contributing to the CASP community, supporting its members through collaborative partnerships, and continuing to innovate in ways that elevate service delivery and operational sustainability in the autism services space. For more information about CASP and its Business Affiliate Program, visit About ATrack Solutions ATrack Solutions is a technology platform designed specifically for ABA, autism service providers, school districts and behavioral support. Built with clinical insight at its core, ATrack offers streamlined documentation, intelligent treatment planning, and integrated supervision tools that enhance both compliance and care quality. Learn more at

Yocbit Releases Latest Data: Global Users Exceed 8 Million, Daily Trading Volume Steadily Surpasses $1.2 Billion, Accelerating Global Compliance Strategy
Yocbit Releases Latest Data: Global Users Exceed 8 Million, Daily Trading Volume Steadily Surpasses $1.2 Billion, Accelerating Global Compliance Strategy

Associated Press

time02-05-2025

  • Business
  • Associated Press

Yocbit Releases Latest Data: Global Users Exceed 8 Million, Daily Trading Volume Steadily Surpasses $1.2 Billion, Accelerating Global Compliance Strategy

New York, May 02, 2025 (GLOBE NEWSWIRE) -- Leading global digital asset trading platform Yocbit has officially released its latest operational data, showcasing strong growth momentum in the global digital economy. As of April 2025, the number of registered users on the Yocbit platform has surpassed 8 million, with an average daily trading volume consistently exceeding $1.2 billion. The acceleration of Yocbit's global compliance strategy further solidifies its leading position in the international digital asset trading market. As a pioneer in compliance-driven development, Yocbit has successfully obtained a Money Services Business (MSB) license issued by the U.S. Department of the Treasury's Financial Crimes Enforcement Network (FinCEN), establishing its compliance status in the U.S. market. This achievement not only positions Yocbit as a recognized legitimate digital asset trading platform within the U.S. financial system but also lays a solid foundation for its expansion into European and global markets. Based in the U.S., Yocbit is simultaneously accelerating its market layout in Europe, actively responding to the compliance requirements of the EU's Markets in Crypto-Assets Regulation (MiCA) and applying for Crypto Asset Service Provider (CASP) licenses in Germany, France, Italy, and other countries. Meanwhile, Yocbit is building a global compliance operation network centered on the U.S., with Europe as a foothold, radiating into Asia, the Middle East, and Latin America, aiming to obtain formal financial regulatory approvals in over 10 countries and regions within the next 24 months. According to official data from Yocbit, the number of registered users has increased by 120% compared to the same period last year, with an active user ratio as high as 67%. Users from the U.S., Europe, Japan, South Korea, and the Middle East collectively account for over 78% of the user base. Currently, the number of global trading pairs supported by Yocbit has exceeded 450, covering major cryptocurrencies such as Bitcoin (BTC), Ethereum (ETH), and USDT stablecoin, and continually expanding into emerging fields like DeFi, GameFi, and RWA (Real World Assets). On the trading technology front, Yocbit's average daily spot trading volume reaches $1.2 billion, with peak daily trading volume surpassing $1.8 billion. The platform's self-developed matching engine supports concurrent processing of up to 120,000 transactions per second (TPS), with trading matching delays consistently below 10 milliseconds, leading the industry. In terms of security measures, Yocbit employs a multi-tiered cold wallet offline storage technology, with 98% of the platform's assets kept in cold storage. The platform has introduced an AI-driven risk control system that monitors trading activities in real-time around the clock. It enforces strict KYC (Know Your Customer) and AML (Anti-Money Laundering) compliance processes, collaborating with top global blockchain security firms such as Chainalysis and CipherTrace, and regularly undergoes third-party audits and penetration testing. Yocbit's International Compliance Director stated, 'Data not only proves growth but also reflects our compliance strength and global reach. By establishing a strong presence in the U.S., deepening our engagement in Europe, and looking globally, Yocbit is taking concrete steps to lead digital asset trading platforms toward legalization, standardization, and globalization.' To further serve global users, Yocbit plans to establish 10 international operation centers and add three localized customer service centers by the end of 2025, covering North America, Europe, Asia, and the Middle East, enhancing user experience and improving its global response system. Yocbit's CEO concluded, 'We firmly believe that only a platform built on compliance, powered by technology, and driven by a global strategy can truly stand at the forefront of the future digital economy. Yocbit will continue to expand its international footprint, continuously improve service quality and security levels, and create a trustworthy, robust, and sustainable new ecosystem for digital asset trading for global investors.' Media contact Contact: Timothy I. Hall Company Name: YocBit Website: Email: [email protected] Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or trading cryptocurrency and securities. Timothy I. Hall YocBit Timothy (at)

Integrating AI into business operations for real-world impact
Integrating AI into business operations for real-world impact

Time of India

time21-04-2025

  • Business
  • Time of India

Integrating AI into business operations for real-world impact

Embedding AI into business operations isn't about plugging in a tool—it's about transforming how decisions are made. Drawing parallels from scientific breakthroughs like AlphaFold, this article explores the five foundational elements that empower organizations to evolve into AI-native enterprises capable of intelligent, real-time action. From Data to Decisions In 2020, DeepMind stunned the scientific community with AlphaFold 2, solving the decades-old challenge of protein folding. This breakthrough wasn't merely about deep learning or compute power. It was made possible by a confluence of factors: vast public datasets, a clearly defined challenge, collaborative ecosystems like the Critical Assessment of Structure Prediction (CASP), and the foundational Protein Data Bank. This offers a compelling parallel for enterprises. Just as AlphaFold's success stemmed from shared frameworks, open collaboration, and a clear purpose, AI breakthroughs in business demand more than algorithms—they require foundational readiness across data, governance, systems, and teams. From Predictive to Prescriptive: The AI Advantage Predictive analytics laid the groundwork for data-driven strategies . But as data volumes explode to the tune of exceeding 180 zettabytes by 2025, organizations must evolve beyond prediction—toward systems that adapt, recommend, and act in real time. In manufacturing, for instance, AI goes beyond forecasting equipment failures—helping dynamically reschedule maintenance, triggering automated ordering of spare parts, and minimizing downtime. In retail, while predictive analytics help determine trends and assess customer behavior, AI enables intelligent pricing, localized inventory decisions, and hyper personalization. Building Blocks for AI Integration Data Readiness: From Silos to Systems AI is only as good as the data it learns from. Yet many enterprises operate in fragmented data environments. Transitioning to AI-ready platforms is essential—combining data lakehouses, real-time pipelines, and governance tools to democratize access and enable actionable intelligence. These architectures support multi-modal data, decouple storage and compute, and enable intelligent workflows across functions. Cross-functional Alignment and Talent Strategy Embedding AI isn't solely a technology initiative. It requires a well-coordinated effort between data scientists, domain experts, and process owners to convert models into meaningful outcomes. Organizations with centralized AI governance and strong executive sponsorship are more likely to scale AI successfully. Human-AI collaboration becomes essential, especially in high-stakes decisions where oversight, ethics, and context matter. Responsible Governance and Explainability With AI systems playing a key role in the core operations, trust and transparency become non-negotiable. AI systems should be auditable, explainable, and aligned with regulatory frameworks. When it comes to AI governance, data privacy is a critical element to consider, for it helps protect IP while ensuring compliance. Effective governance will not only help strengthen security but also build enterprise resilience. AI Architectures and Embedded Intelligence AI is shifting from being a bolt-on analytics layer to becoming an integral part of enterprise workflows. Modern enterprise platforms treat AI not as an add-on, but as foundational logic—driving decisions inside ERP, CRM, and SCM systems. Tech giants like Microsoft (Copilot), Salesforce (Einstein), and SAP (BTP), have set a benchmark for embedded intelligence. Intellectual Property and Competitive Edge As enterprises build and train proprietary models—especially domain-specific or task-specific models—they are creating strategic IP. This intellectual capital must be protected—via disciplined model lineage, data provenance, and secure deployment frameworks. It also opens doors for monetizing AI through platforms, APIs, and services that extend beyond internal efficiency to ecosystem leadership. Embedded AI in Action: Industry Snapshots HealthcareAutomotiveFinancial ServicesRetailAI helps optimize patient flow by reallocating resources dynamically across emergency rooms, labs, and diagnostics. Innovators like MDI, Activ Surgical, and Cala Health are embedding AI into surgical robotics, disease detection, and digital connected cars generating terabytes of data per hour, OEMs are embedding edge AI for local processing—powering safety features, predictive maintenance, and new business models like are moving beyond customer experience and fraud detection—embedding AI in real-time credit scoring, risk management, and personalized wealth management. Even regulators like RBI are leveraging AI to derive insights from supervised is powering micro-fulfilment centers, optimizing last-mile delivery, and enabling hyperlocal demand prediction. Walmart reportedly reduced stockouts by 30% using AI. Indian players like Flipkart, Myntra, and Blinkit are leveraging AI to redefine customer experience and last-mile delivery. The AI-Native Enterprise: A Strategic Imperative AI is not the end goal—it's a force multiplier. Enterprises that make AI integral to their DNA benefit from: Innovation & Agility with faster R&D cycles, scenario simulation, and market-fit experimentation Real-time Decisioning enabled by Intelligent automation and dynamic optimization across functionsCost Optimization through predictive maintenance and resource allocationRevenue Growth via hyper-personalization and next-best action recommendations and AI-native services AI success in the enterprise hinges on foundational readiness. Companies that embrace data as an asset, embed AI into operations, build responsible governance, and foster cross-disciplinary collaboration will thrive, becoming AI-native enterprises.

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