Latest news with #DSL
Business Standard
22-05-2025
- Business
- Business Standard
Crisil Ratings assigns 'A2' rating to ST facilities of Dreamfolks Services
Dreamfolks Services said that Crisil Ratings has assigned its 'Crisil A2' rating to the short-term (ST) bank facilities of the company. The agency has reaffirmed its Crisil BBB+/Stable rating on the long-term bank facilities of DSL. Crisil Ratings stated that the rating continues to reflect the established market position and healthy financial risk profile of DSL. These strengths are partially offset by susceptibility of revenue to changing credit card schemes and volatile operating margin. The agency further said that steady revenue growth per fiscal while maintaining the operating margin at 8-9%, leading to higher-than-expected net cash accrual, and sustenance of healthy financial risk profile amidst efficient working capital management However, a decline in operating income or operating margin falling below 5%, resulting in lower-than-expected net cash accrual, and stretch in the working capital cycle leading to high dependence on external debt and thus moderation in financial risk profile could result in an adverse rating action. Based in Gurugram (Haryana), Dreamfolks Services (DSL) is India's largest airport service aggregator platform. It provides services such as lounges, food and beverages, spa, meet and assist, airport transfer, transit hotels/nap room access and baggage transfer. Clients include major card networks, banks, online travel agents, airlines and enterprises. The scrip had risen 0.75% to end at Rs 273.80 on the BSE today.
Yahoo
13-05-2025
- Business
- Yahoo
Big Data Analytics Market to Reach Valuation of US$ 1,112.57 Billion by 2033
Big data analytics demand surges as healthcare, finance, and manufacturing sectors prioritize AI-driven insights. 80% of enterprises increased analytics budgets by 35% in 2024, focusing on regulatory compliance and vertical-specific solutions. Chicago, May 13, 2025 (GLOBE NEWSWIRE) -- The global big data analytics market was valued at US$ 326.34 billion in 2024 and is expected to reach US$ 1,112.57 billion by 2033, growing at a CAGR of 14.50% during the forecast period 2025–2033. As of 2024, the big data analytics market is bifurcated into domain-specific platforms (39% of revenue) and horizontal cloud-native tools (53%), with the remainder split between legacy on-premise solutions. Microsoft leads in hybrid deployments via Azure's edge-to-cloud Fabric platform, which supports 220+ regulatory frameworks (e.g., EU AI Act, China's DSL), capturing 28% of healthcare and manufacturing clients. On the other hand, AWS retains SMB dominance (47% market share <$1B revenue firms) through Redshift's $0.25/GB serverless pricing—32% cheaper than Snowflake. However, industry-focused vendors are gaining momentum: Palantir's AIP added 140 defense/space contracts in 2024 by embedding PHI/PII anonymization into federated analytics workflows, while Veeva Systems' clinical trial analytics platform grew 55% YoY by solving FDA's 2024 requirement for real-time AE/SAE reporting. Download Sample Pages: The big data analytics market is set to grow at a CAGR of 14.50% through 2033 (vs. 14.8% pre-2024), driven by AI-driven verticalization and regulatory complexity. Astute Analytica predicts 75% of enterprises will adopt PETs (privacy-enhancing tech) by 2025, with tools like Google's Confidential Space (homomorphic encryption) expected to reduce cloud analytics breach risks by 59%. Edge analytics will surge in heavy industries—Astute Analytica's research forecasts oil/gas investment in edge ML ops to hit $4.2B by 2025 (up from $1.7B) to preprocess sensor data, avoiding $12/hour per rig cloud transfer costs. Geopolitical tensions will splinter tech stacks: 71% of APAC firms now dual-source analytics tools (e.g., Alibaba Cloud + Databricks) to comply with China's cross-border data rules. Meanwhile, sustainability mandates will fuel demand for carbon-aware analytics. Startups like Watershed, which embed emission factors into Snowflake queries, grew 340% in 2024 as 29% of S&P 500 firms now tie ESG metrics to executive pay. Key Findings in Big Data Analytics Market Market Forecast (2033) US$ 1,112.57 billion CAGR 14.50% Largest Region (2024) North America (35%) By Component Software (70%) By Deployment Type Cloud-Based (61%) By Application Data Discovery (25%) Top Drivers Stricter AI ethics compliance mandates amid global regulatory fragmentation Demand for vertical, industry-specific predictive analytics over horizontal tools Edge-to-cloud latency reduction in IoT-driven real-time decision automation Top Trends Privacy-enhancing technologies (PETs) enabling cross-company data collaboration without exposure Decision intelligence platforms embedding causal AI and process mining Carbon-aware analytics tools integrating GHG protocols into cloud workflows Top Challenges Talent hybrid shortages (MLOps + domain expertise) delaying ROI timelines Rising costs of sovereign data storage and cross-border compliance Dynamic model drift in generative AI requiring continuous recalibration costs Generative AI Transforms Predictive Modeling with Multi-Modal Data Fusion The integration of generative AI in the big data analytics market is enabling enterprises to synthesize structured, unstructured, and real-time data streams. In 2024, advancements in multi-modal AI models allow companies like Walmart to combine satellite imagery, point-of-sale data, and customer foot traffic patterns to optimize store layouts, resulting in a 12% increase in per-customer revenue (Forbes, 2024). Financial institutions such as HSBC are using these models to simulate market shocks by blending historical trading data with geopolitical event logs, improving risk mitigation strategies by 24%. However, enterprises in the big data analytics market face challenges in managing "AI drift," where models degrade due to evolving data patterns. A 2024 MIT-Cognizant study found that 41% of generative AI deployments require monthly retraining to maintain accuracy. Pharma giant Roche addresses this by embedding real-time patient trial feedback loops into its drug discovery analytics, reducing model recalibration cycles from 30 to 7 days. Vendors like Databricks are also launching MLOps pipelines tailored for generative AI, automating 35% of maintenance workflows through anomaly detection. Data Privacy-as-a-Service Emerges to Navigate Global Compliance Complexity The big data analytics market is witnessing a surge in Privacy-Enhancing Technologies (PETs) as regional regulations fragment data governance standards. With Brazil's LGPD and India's DPDP Act (2023) imposing strict localization mandates, tools like AWS Clean Rooms grew by 89% YoY by enabling secure cross-company data collaboration. A 2024 survey found that 67% of enterprises now use homomorphic encryption for analytics, allowing computations on encrypted data without decryption. For example, Visa processes transaction fraud analysis across 40 markets without exposing raw data, reducing breach risks by 52%. Startups like Duality Technologies are advancing 'privacy-preserving AI' frameworks, which let firms train models on combined datasets from competitors in regulated sectors like insurance. Zurich Insurance Group used this to pool anonymized claims data with rivals, improving actuarial accuracy by 18% without violating antitrust laws. However, PET adoption is hindered by 30–40% higher compute costs, pushing vendors to develop hybrid quantum-classical encryption solutions for cost efficiency. Edge-to-Cloud Hybrid Architectures Address Latency and Data Sovereignty Demands The exponential growth of IoT devices and 5G connectivity is forcing enterprises in the big data analytics market to adopt hybrid edge-cloud analytics frameworks. In 2024, 62% of manufacturers now deploy edge nodes to preprocess raw sensor data on-premises, reducing cloud data transfer costs by 41% while complying with strict data residency laws. For example, Chevron's oil rigs in the North Sea use AWS Snowcone edge devices to analyze drilling telemetry in real time, cutting decision latency from 90 seconds to 0.8 seconds and preventing $3.8M/year in unplanned downtime. Meanwhile, retailers like Target use edge AI to process in-store camera feeds locally for inventory tracking, avoiding GDPR risks by retaining sensitive footage on-premises. However, hybrid models intensify integration complexity in the big data analytics market. A 2024 S&P Global survey found that 58% of firms struggle to unify edge/cloud metadata schemas, leading to fragmented insights. Snowflake's launch of Unistore, a transactional-analytical hybrid platform, helps firms like FedEx query live edge logistics data alongside cloud-stored shipping histories, improving route optimization by 19%. Vendors are also prioritizing edge-native tools: Microsoft's Azure Synapse Edge now allows SQL queries on streaming data, reducing dependence on centralized clouds. Key trends suggest that edge maturity will define 2025's competitive landscape as 5G-Advanced enables sub-50ms analytics for autonomous systems. Healthcare Big Data Platforms Navigate Privacy-Preserving Innovation Big data analytics adoption in healthcare surged by 34% in 2024 across the global big data analytics market, driven by mandates to reduce diagnostic errors and operational costs. Mayo Clinic's partnership with Google Cloud utilizes federated learning to train cancer detection models on 10M+ global patient records without sharing raw data, improving accuracy by 27% while maintaining HIPAA compliance. Similarly, Babylon Health's AI triage tool, analyzing 500K+ patient transcripts daily, reduced misdiagnoses in UK clinics by 22% (The Lancet). However, interoperability remains a bottleneck: 68% of U.S. providers (HIMSS 2024) report siloed EHR systems that delay analytics ROI by 9–14 months. Some of the startups in the big data analytics market like Syapse leverage HL7 FHIR APIs to harmonize oncology data across 150+ hospitals, enabling precision treatment roadmaps. Pharma giants are also innovating: AstraZeneca's clinical trial platform uses graph analytics to map patient biomarkers against genetic databases, cutting trial recruitment time from 18 to 6 months. Nevertheless, ethical concerns persist. MIT's 2024 audit of AI diagnostic tools found racial bias in 33% of radiology models, prompting vendors like Aidoc to introduce bias-detection SDKs. With FDA's 2024 AI/ML validation guidelines tightening, healthcare analytics vendors must balance innovation with algorithmic accountability. Ethical AI Audits Reshape Vendor Strategies in High-Stakes Sectors in the Big Data Analytics Market As regulators scrutinize AI ethics, enterprises demand transparent big data workflows. Forrester reports that 71% of financial firms now use third-party tools like IBM's Watson OpenScale to audit credit scoring models for racial/gender bias, aligning with the EU's AI Act. JPMorgan's 2024 audit of its mortgage approval algorithm revealed a 14% disparity in approval rates for minority applicants, prompting a model recalibration that increased approvals by $240M annually. Similarly, Unilever's HR analytics platform, powered by SAP SuccessFactors, underwent ESG compliance checks to eliminate demographic skew in hiring algorithms. Vendor differentiation in the big data analytics market now hinges on ethical frameworks. Salesforce integrated 'Ethics by Design' into Tableau CRM, auto-flagging biased customer segmentation patterns, which reduced churn among marginalized groups by 18% for users like Comcast. Startups like Credo AI offer 'nutrition labels' for analytics models, detailing training data sources and fairness metrics. However, audits slow deployment: Gartner finds compliance reviews delay 45% of AI projects by 4–6 months. To offset costs, AWS launched a pre-audited analytics service in 2024, offering vetted ML templates for regulated industries like insurance. The market is tilting toward vendors that bake ethics into analytics pipelines rather than treat it as an add-on. Democratization Tools Clash with Governance Needs in Self-Service Analytics No-code platforms across the global big data analytics market like Power BI and Qlik dominate the $14B self-service analytics market (Gartner 2024), enabling non-technical teams to generate insights 4x faster. Nestlé's marketing team uses ChatGPT-integrated Power BI to create campaign performance dashboards in 2 hours (down from 3 days), linking social media sentiment with sales data. However, 'shadow analytics' is rising: 41% of employees (Deloitte) bypass IT governance to use unauthorized tools, risking data leaks. For example, a 2024 breach at exposed 190K records after a sales analyst uploaded customer data to an uncertified freemium tool. Vendors in the big data analytics market are responding with embedded governance. Alteryx's 2024 update auto-tags PII in user-generated dashboards and blocks exports to unsecured platforms—adopted by 63% of financial firms to mitigate compliance risks. Meanwhile, Databricks' Unity Catalog provides lineage tracking for self-service queries, letting admins trace discrepancies to their source. Training is also critical: Cisco's Data Literacy Program upskilled 12K employees in data ethics, reducing governance violations by 82%. As generative AI makes analytics creation effortless, enterprises must prioritize governance without stifling agility. Need Custom Data? Let Us Know: Big Data Analytics Market Competitive Analysis The big data analytics market remains fiercely contested, with Microsoft, AWS, and Google Cloud collectively holding 58% market share. Microsoft's growth surged 23% YoY, driven by Azure Synapse Analytics and Fabric, which unify enterprise data lakes, AI, and BI tools. Its strategy targets Fortune 500 firms with hybrid cloud solutions—58% of its analytics revenue now comes from regulated sectors like healthcare and government. AWS, while lagging in AI-first tools, retains dominance via Redshift's serverless architecture and strategic partnerships (e.g., Databricks, Snowflake), serving 52% of mid-market firms. Google Cloud narrowed the gap with Vertex AI's multimodal capabilities, attracting 34% more retail clients in 2024 by integrating analytics with real-time inventory optimization. Snowflake, despite slower growth (18% YoY), expanded its healthcare and financial services footprint with Healthcare Data Cloud and vertical-specific LLMs, now serving 8,870+ global enterprises, including 60% of the Fortune 100. Niche players like Palantir and Cloudera differentiate through precision. Palantir's AIP for Big Data leverages federated analytics for defense and pharma clients, securing 28 new U.S. DoD contracts in 2024. Cloudera, focusing on hybrid data governance, grew its manufacturing base by 41% with CDP's edge-to-cloud kits. However, Oracle and IBM struggle: Oracle's MySQL HeatWave (70% faster queries than rivals) boosted SMB adoption but lags in enterprise AI integration. IBM's lost traction due to limited LLM compatibility, though its consulting arm retains 11,000+ analytics clients. Meanwhile, SAP and Salesforce embed industry analytics into ERP/CRM workflows—SAP's Datasphere now processes 50% of its clients' operational data. Vendors face mounting pressure to bundle analytics with ethical AI audits and sovereign cloud options as European and APAC regulators tighten compliance. Success hinges on vertical specialization and seamless human-AI collaboration tools. Global Big Data Analytics Market Key Players: IBM Corporation SAP SE SAS Institute Inc. Microsoft Corporation FICO Oracle Corporation Salesforce Inc. Google LLC Kinaxis Inc Hewlett Packard Enterprise Datameer Sage Clarity Systems Other Prominent Players Key Segmentation: By Component Hardware Software Services By Deployment Type Cloud-Based On-Premises Hybrid By Organization Size Large Enterprises Small and Medium-Sized Enterprises (SMEs) By Application Customer Analytics Data Discovery Advanced Analytics Data Visualization HR Analytics Financial Analytics Others By Industry Vertical BFSI Healthcare and Life Sciences Retail and Consumer Goods Manufacturing Energy and Utilities Government Transportation and Logistics Others By Region North America Europe Asia Pacific Middle East & Africa (MEA) South America Have Questions? Reach Out Before Buying: About Astute Analytica Astute Analytica is a global market research and advisory firm providing data-driven insights across industries such as technology, healthcare, chemicals, semiconductors, FMCG, and more. We publish multiple reports daily, equipping businesses with the intelligence they need to navigate market trends, emerging opportunities, competitive landscapes, and technological advancements. With a team of experienced business analysts, economists, and industry experts, we deliver accurate, in-depth, and actionable research tailored to meet the strategic needs of our clients. At Astute Analytica, our clients come first, and we are committed to delivering cost-effective, high-value research solutions that drive success in an evolving marketplace. Contact Us:Astute AnalyticaPhone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World)For Sales Enquiries: sales@ Follow us on: LinkedIn | Twitter | YouTube CONTACT: Contact Us: Astute Analytica Phone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World) For Sales Enquiries: sales@ Website: 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
Borneo Post
30-04-2025
- Borneo Post
Tugboat detained near Tanjung Marou in Sarawak for breaching Shipping Ordinance
Handout photo shows the tugboat detained in Sarawak waters. – MMEA photo KUCHING (April 30): A tugboat operating in Sarawak waters was detained by the Malaysian Maritime Enforcement Agency (MMEA) on Monday night for breaching licensing conditions under the Merchant Shipping Ordinance 1952. According to Sarawak Maritime director Rear Admiral (M) Mohd Khairi Abd Aziz, the vessel was intercepted approximately 10 nautical miles north of Tanjung Marou during patrols under Ops Tiris 3.0 and Ops Permai 01/2019 around 10.20pm. 'Checks revealed that the vessel, manned by two local male crew members aged between 41 and 51, failed to display a valid Domestic Shipping Licence (DSL),' he said in a statement. Further investigation found that the tugboat had not reported a change in skipper and was operating with an insufficient number of crew members. The vessel and its crew members were escorted to the Tun Abang Salahuddin Maritime Complex (Komtas) jetty and handed over to investigating officers for further action. Khairi urged the maritime community to comply with all regulations and prioritise safety at sea to prevent unwanted incidents. For emergencies or to report any suspicious maritime activities, the public may contact the MMEA Sarawak Operations Centre at 082-432544 or via the 24-hour hotline 999.
Borneo Post
30-04-2025
- Borneo Post
Tugboat detained near Tanjung Marou for breaching Shipping Ordinance
Handout photo shows the tugboat detained off Sarawak waters. – MMEA photo KUCHING (April 30): A tugboat operating in Sarawak waters was detained by the Malaysian Maritime Enforcement Agency (MMEA) on Monday night for breaching licensing conditions under the Merchant Shipping Ordinance 1952. According to Sarawak Maritime director Rear Admiral (M) Mohd Khairi Abd Aziz, the vessel was intercepted approximately 10 nautical miles north of Tanjung Marou during patrols under Ops Tiris 3.0 and Ops Permai 01/2019 around 10.20pm. 'Checks revealed that the vessel, manned by two local male crew members aged between 41 and 51, failed to display a valid Domestic Shipping Licence (DSL),' he said in a statement. Further investigation found that the tugboat had not reported a change in skipper and was operating with an insufficient number of crew members. The vessel and its crew members were escorted to the Tun Abang Salahuddin Maritime Complex (Komtas) jetty and handed over to investigating officers for further action. Khairi urged the maritime community to comply with all regulations and prioritise safety at sea to prevent unwanted incidents. For emergencies or to report any suspicious maritime activities, the public may contact the MMEA Sarawak Operations Centre at 082-432544 or via the 24-hour hotline 999.
New York Times
07-02-2025
- Sport
- New York Times
Which prospects could make the biggest leaps forward in 2025?
Spring training is right around the corner which means the MLB season is fast approaching and, as is tradition, The Athletic has posted its annual top 100 prospects who could make an impact in the majors in 2025. Roman Anthony and Sebastian Walcott take positions one and two, but on the latest Rates & Barrels episode, Derek Van Riper and Eno Sarris were joined by Keith Law to discuss some of the lesser-known prospects with the biggest upside. A partial transcript has been edited for clarity and length. The full episode is available on YouTube below or in the 'Rates & Barrels' feed on Apple Podcasts and Spotify. Eno: We didn't prepare you for this one. But I know that this is something you hear on the radio or in chats or whatever. … Who is somebody in the back end of the top 50 that has a big up arrow on it? Somebody, I don't know, like Zyhir Hope, maybe? Keith: Well definitely him. Eno: (Josue) Briceño? Derek: Anywhere in the top 100 I think. Who could be the next Sebastian Walcott, someone that could be at or near the top of the list a year from now? Advertisement Eno: (Lazaro) Montes, the other Cheerio … Derek: The other Cheerio? (laughs) Keith: The other Cheerio. Yes. (laughs) Eno: Made, is that right? Jesus Made? Keith: Oh definitely him, he was so good in the DSL (Dominican Summer League) and impressed people. I don't put DSL guys on the list almost ever, but people were like, 'I don't know, that's a superstar.' I think he's actually in the top 50, but also Franklin Arias with the Red Sox, shortstop, 19, destroyed the GCL (Gulf Coast League). I think he was actually in the GCL or whatever, the Florida man league down there. I think he was the MVP of that. I saw him in Low A, the ball really comes off his bat well and he can play shortstop. So just a guy who, if you told me he was going to be in the top 10 a year from now, I definitely could see that. I am just scrolling through. Made — I think that's how he says it — he would definitely be one. Eno: (Zyhir) Hope gets a lot of love too. Keith: He is. First of all, he's a crazy athlete. A crazy, crazy athlete. The word on him out of high school, he was from a tiny town in Virginia. He couldn't hit — especially if it wasn't straight — he couldn't hit it. Give that kid all the credit in the world, and the Dodgers too, by the way, for sticking with him and seeing him a little bit after the draft and saying, 'We want this guy.' But he worked and the pitch recognitions and swing decisions aren't great, but they are so much better than they were. Eno: His walk and strikeout rates are pretty good too. Keith: They are pretty good. And it's real power and he runs pretty well. He would definitely be one. I mean God, if Noble Meyer throws strikes but you know that's like … Derek: (laughs) Keith: I had one more and I scrolled, kept scrolling, kept scrolling and I went right past it. Oh, a little bit of an older guy, but Seaver King. Just for folks who don't know; the 10th overall pick last year. Washington takes him out of Wake Forest, where he was primarily a center fielder. Played some short, and played some third. But he was a natural shortstop, is a natural shortstop. And The Nats said, 'We're putting him out at short.' He goes out to Low A, Fredericksburg, plays short and pro scouts who saw him were like, 'What do you mean he's not a shortstop?' Advertisement There's just no doubt. He's the rare guy where post-draft there's like, 'Move him up, we have new information now.' He looked really good at shortstop. He's a great athlete. He's interesting, he's a little bit of a bad-ball hitter, so I think his chase rate is always going to be a little high, but he hits them. And some may be like, 'Well, we'll let that go for now (but) you might have to change that.' But I mean actually, the hardest hit ball I ever saw from him was several inches above the strike zone and he just tomahawked it out to left field at about 108 or so. I'm like, 'That's pretty impressive you could do that on a pitch that wasn't a strike.' He's athletic. He's got a good idea of the strike zone, at least in terms of what to swing at. And he can really play short. He could move up pretty quickly and If I'm right about the shortstop, if everyone's right about the shortstop, he might not be in the majors … You can listen to full episodes of Rates & Barrels for free on Apple Podcasts and Spotify, or watch on YouTube. (Photo of Zyhir Hope: Chris Bernacchi / Diamond Images via Getty Images)
