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AI investor focus arrives to Best Buy ( BBY ). Best Buy is set to report its third quarter results Tuesday before market open as demand for electronics continues to stabilize post pandemic. Wall Street expects revenue to come in at $9.63 billion, a touch lower compared to the third quarter of last year, while adjusted earnings are estimated to be flat year over year at $1.29 per share. Same-store sales are expected to fall nearly 1% for the quarter, compared to the 7.30% drop seen this time last year. Analysts anticipate appliance sales will continue to drag down results, followed by entertainment and consumer electronics. Computing and mobile phones are likely to see a gain. "We expect computing (notebooks & tablets) & services to partly offset softness in appliances and home theater," Bank of America analyst Robby Ohmes wrote in a note to clients. Preliminary credit and debit card data "suggests a comparable sales growth slowdown in October... as value-conscious consumers may have chosen to delay purchases and wait for Holiday sales," Ohmes added. In the prior quarterly results, Best Buy CEO Corie Barry said customers are "seeking value and sales events" but are "willing to spend on high-price-point products" for new technology. Best Buy shares are up nearly 19% year-to-date, trailing behind the S&P 500's ( ^GSPC ) nearly 25% gain. New products, particularly surrounding AI, could boost growth. "The company should see a return to growth in the first half of 2025, following many consecutive quarters of negative comps, as newness and the replacement cycle kicks in, especially for products purchased in 2019-2020," Telsey Advisory Group Joe Feldman wrote in a note to clients. Copilot+ PCs, which are capable of accessing advanced AI models, launched earlier this year with roughly 40 products. In the previous quarter, Barry said the company is the exclusive retailer for about 40% of those new PCs. He previously said in the second half of 2024, Best Buy will see a much larger percentage of computers and tablets with AI capabilities, and more AI products available at various price points. Here's what Wall Street expects Best Buy to post for the third quarter, compared to a year ago, per Bloomberg consensus data: Adjusted earnings per share: $1.29 versus $1.29 Net sales: $9.63 billion, versus $9.76 billion Same-store sales growth overall: -0.92%, versus -7.30% Total US same-store sales growth: -0.74%, versus -7.30% Sales growth for: Appliances: -7.50%, versus -15.10% Entertainment: -4.00%, versus 20.60% Consumer electronics: -2.72%, versus -9.50% Computing and mobile phones: + 3.50%, versus -8.30% Services: +5.83%, versus 6.90% International: -0.57%, versus -1.90% Following its second quarter earnings results, the company updated its full-year outlook. It expected revenue to come in between $41.3 billion and $41.9 billion, compared to the previously expected range of $41.3 billion to $42.6 billion. Same-store sales are projected to decline 3% to 1.5%, compared to a previously expected decline of 3.5% to flat. The company also anticipated better-than-expected profitability. It expected adjusted earnings per share to come in between $6.10 and $6.35, higher than the prior guidance of $5.75 to $6.20. — Brooke DiPalma is a senior reporter for Yahoo Finance. Follow her on X at @ BrookeDiPalma or email her at bdipalma@yahoofinance.com. Click here for all of the latest retail stock news and events to better inform your investing strategy
Romania’s Calin Georgescu Scores Election VictoryVoice biometrics liveness detection software from has passed a test evaluating compliance to the international standard for presentation attack detection (PAD) testing for level 1 spoofs by . The test of Veridas ECHO’s compliance to the ISO/IEC 30107-3 standard required it to successfully block 100 percent of spoof attacks presented. Veridas says ECHO is the first voice solution on the market to pass the test, in which voices were played through a loudspeaker. The company says ECHO can detect real recorded voices, as tested by iBeta, and also synthetic voices, which are out of scope of the level 1 PAD evaluation. The test was carried out with Veridas Shield v0.1.0 running on an iPhone 12, according to the compliance from iBeta. ECHO combines anti-spoofing software, which launched in August, with real-time voice analysis and privacy-by-design principles, according to the announcement, for seamless, secure and reliable identity verification. Veridas emphasizes in the release that its adherence to the strictest privacy standards gives organizations the confidence to embrace voice biometrics to reduce fraud and detect deepfakes. ECHO itself was in October. At that time, the company called out an emerging opportunity stemming from what it described as major players in the voice market that are not primarily focused on identity exiting the space. “Veridas ECHO is not just a voice solution—it’s a leap forward in security and innovation,” said Javier San Agustín, CTO of Veridas. “Successfully completing the iBeta evaluation highlights Veridas’ commitment to pushing the boundaries of biometric technology to deliver solutions prioritizing trust, safety, and user experience. This accomplishment represents a huge milestone not only for Veridas but for the voice biometrics industry as a whole.” NIST held an assessment of in 2021, with Veridas scoring high marks, and the company published a late last year. Veridas’ passed iBeta’s PAD level 2 compliance test back in 2022. | | | | | | | |
( MENAFN - GetNews) "IBM (US), Oracle (US), google (US), SAP (Germany), Microsoft (US), SAS Institute (US), KNIME (Switzerland), FICO (US), Altair (US), AWS (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Teradata (US), Adobe (US), Absolutdata Analytics (US), Moody's Analytics (US), Qlik (US), Databricks (US), Dataiku (US), Kinetica (US), MathWorks (US), Anaconda (US)."Advanced Analytics Market by Offering (Solutions & Services), Business Function (Sales & Marketing, Operations & Supply Chain), Type (Big Data Analytics, Risk Analytics), Vertical (BFSI, Telecom) and Region - Global Forecast to 2028. The global advanced analytics market is expected to grow at a compound annual growth rate (CAGR) of 28.6% during the forecast period, increasing from an estimated USD 64.3 billion in 2023 to USD 226.2 billion by 2028. Key factors driving this growth include the increasing adoption of big data and related technologies to enhance real-time data processing and the rising demand for cloud-based analytics solutions, offering improved accessibility and cost efficiency. Download PDF Brochure@ By offering, services to register for the highest CAGR during the forecast period The scope of the services segment comprises training and consulting, system integration and implementation, and support and maintenance. The services segment of the advanced analytics market is growing rapidly. These services play a vital role in properly functioning advanced analytics solutions. Advanced analytics vendors require technical support and consulting services to deploy their solutions quickly and smoothly in the market. By type, big data analytics to register for the highest market size during the forecast period Big data analytics are frequently leveraged by financial services organizations looking to mine massive amounts of stock market data to identify and capitalize off previously unknown trends. Public health organizations are also increasingly leveraging huge amounts of population health data to develop better policies, treatment, and healthcare practices. Big data has changed and revolutionized the way businesses and organizations work. A lot of enterprises from different industries benefit from big data techniques and processing methods. By region, Asia Pacific to account for highest growth rate during forecast period Asia Pacific is witnessing significant technological innovation in advanced analytics. Several Asian countries, such as Japan, China, and India, are leveraging information-intensive technologies, and advanced analytics is one of the leading technology trends. With new growth opportunities declining in conventional, strong markets such as North America and Europe, several vendors are showing an interest in Asia Pacific. China, Japan, and India are technology-driven countries and present major opportunities in terms of investments and revenues. Request Sample Pages@ Unique Features in the Advanced Analytics Market The advanced analytics market stands out due to its seamless integration with big data technologies. These solutions allow organizations to process vast amounts of structured and unstructured data, uncovering hidden patterns and generating actionable insights. This capability enhances decision-making and provides a significant competitive advantage. One of the most notable features of advanced analytics is its ability to process data in real time. By leveraging cutting-edge algorithms and high-speed computing, businesses can make informed decisions instantly, enabling them to respond to dynamic market conditions and customer needs effectively. The shift toward cloud-based analytics solutions has transformed the market. These solutions offer scalability, flexibility, and cost-effectiveness, allowing businesses of all sizes to access advanced analytics tools without significant infrastructure investments. The cloud also ensures better collaboration and data accessibility across teams and locations. The market is distinguished by its focus on predictive and prescriptive analytics. Predictive analytics helps forecast future trends, while prescriptive analytics provides recommendations for optimal decision-making. This dual approach empowers organizations to not only anticipate challenges but also take proactive measures. Advanced analytics solutions are increasingly tailored to meet the unique needs of various industries, such as healthcare, finance, retail, and manufacturing. These customized tools address specific challenges, such as fraud detection in banking, personalized medicine in healthcare, and inventory optimization in retail. Major Highlights of the Advanced Analytics Market The widespread implementation of big data tools is a key highlight, enabling organizations to analyze vast datasets. This adoption is fueling innovations and helping businesses identify trends, optimize operations, and improve customer experiences. The ability to process data in real time has emerged as a game-changer. Advanced analytics solutions empower companies to act swiftly in response to evolving market conditions, customer behaviors, and operational challenges, thereby improving business agility. The transition to cloud-based analytics is a major highlight, driven by the demand for scalable, cost-effective, and accessible solutions. These platforms facilitate remote collaboration and provide organizations with the flexibility to adapt to varying workloads. Organizations are increasingly leveraging predictive analytics to forecast future trends and prescriptive analytics to receive actionable recommendations. This dual capability is transforming strategic planning and operational efficiency across sectors. Advanced analytics solutions are tailored to address unique industry challenges, such as fraud detection in financial services, patient outcome prediction in healthcare, and supply chain optimization in manufacturing. This industry-centric approach enhances their value proposition. Inquire Before Buying@ Top Companies in the Advanced Analytics Market Some major players in the advanced analytics market include IBM (US), Oracle (US), Google (US), SAP (Germany), Microsoft (US), SAS Institute (US), KNIME (Switzerland), FICO (US), Altair (US), AWS (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Teradata (US), Adobe (US), Absolutdata Analytics (US), Moody's Analytics (US), Qlik (US), Databricks (US), Dataiku (US), Kinetica (US), MathWorks (US), Anaconda (US), H2O (US), Domino Data Lab (US), DataRobot (US), DataChat (US), Imply (US), Promethium (US), Siren (Ireland), Tellius (US), SOTA Solutions (Germany), and Vanti Analytics (Israel). Google Google, one of the world's leading technology companies, has a significant presence in the advanced analytics market. The company offers a range of products and services that enable organizations to analyze and derive insights from vast amounts of data. Google Cloud Platform (GCP) provides a comprehensive suite of cloud-based services for advanced analytics. It offers scalable infrastructure, storage, and computing power necessary to process and analyze large datasets. GCP includes services like BigQuery for data warehousing and analytics, Dataflow for real-time data processing, and AI Platform for machine learning and predictive analytics. IBM Focused on advanced analytics, IBM is one of the major players in the market. Within the past two years, IBM has shifted its focus from the hardware business to digital, with increased investments in data, analytics, and advanced analytics. IBM offers IBM Advanced Analytics in the advanced analytics market. This solution helps discover actionable data-driven insights to drive customer engagement, reveal revenue-increasing opportunities, and outsmart frauds for protecting revenue and reputation. Oracle In the advanced analytics market, it offers Oracle Analytics, which is a complete platform with ready-to-use services for a wide variety of workloads and data. It provides actionable insights from all types of data in the cloud, on-premises, or in a hybrid deployment. It empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions. SAP SAP is a prominent player in the Advanced Analytics Market, offering a suite of solutions designed to help businesses leverage data for informed decision-making. SAP's advanced analytics portfolio includes SAP HANA, an in-memory database that facilitates real-time analytics, and SAP Analytics Cloud, which provides integrated business intelligence (BI), planning, and predictive analytics. These tools enable organizations to analyze large volumes of data from various sources, uncover hidden insights, and forecast future trends. By integrating advanced analytics into their operations, businesses can improve efficiency, drive innovation, and maintain a competitive edge in the market. KNIME KNIME (Switzerland) is a key player in the Advanced Analytics Market, known for its open-source platform that empowers organizations to create, execute, and optimize data workflows. KNIME Analytics Platform offers robust capabilities for data integration, processing, analysis, and visualization, catering to a wide range of industries. Its user-friendly, modular interface allows users to build comprehensive data pipelines and apply advanced machine learning algorithms without extensive programming knowledge. By enabling seamless data blending and advanced analytics, KNIME helps businesses derive actionable insights, enhance data-driven decision-making, and accelerate innovation. MENAFN19122024003238003268ID1109014504 Legal Disclaimer: MENAFN provides the information “as is” without warranty of any kind. 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