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Publishing false information pays off A survey of more than 1,600 hiring managers conducted by ResumeBuilder this year shed further light on the ghost job phenomenon. According to the survey, more than 80% of recruiters said they posted jobs without intending to fill them, and 41% indicated that more than half of the jobs were fake. Of tech companies, 40% posted fake jobs in the past year, and 79% of those still had active ads. The fake ads cover all job levels: entry-level (63%), midlevel (68%), senior-level (53%), and executive (45%). The most common outlets for this disinformation are company websites (72%), LinkedIn (70%), ZipRecruiter (58%), Indeed (49%), and Glassdoor (48%). Most of the phantom listings remain active for a month (31%), a few weeks (28%), and in some cases, a year or more (9%). Recruiters also declared reasons for these actions, and the spectrum is much wider than one might assume: source

Generative AI is revolutionizing healthcare by enabling faster diagnoses and personalized treatments. The use of Big Data and AI has greatly facilitated both the processing and analysis of enormous amounts of information generated by patients. source

As we expand our retail and corporate presence across the Middle East, Asia, and Africa, data residency compliance is a key focus. We are adopting Private Cloud Technology to meet these needs, with Oracle Exadata Cloud at Customer (ExaCC) being a pivotal technology solution for our database workload. At Mashreq, we are redefining traditional banking by always placing our customers at the forefront of our operations. Our commitment to being a challenger bank drives us to offer innovative, digital-first solutions like Mashreq Neo and Neo NXT, which provide unmatched convenience and efficiency. Moreover, our Wholesale Banking division is crucial in delivering customized solutions to our corporate clients, further establishing our position as a leading bank in the region. Q. What are the different kinds of technology that Mashreq has been investing in to upgrade its banking system and services in recent years? How is the progress of implementing a digital core banking system to accommodate Internet banking payment services and digital payments at Mashreq at the moment? source

The Hall of Fame CIO has operated by the mantra “Work hard, lead a balanced life, and have an undying respect for people,” delivering FedEx 27 straight CIO 100 awards. source

Transactional use cases: Three out of five (61%) banks use the technology for transactional use cases such as credit analysis, portfolio management, risk assessment, legal contracts, offers, tenders, and pitch documents. Employee productivity: In 55% of banks, gen AI supports employees, for example in the form of assistants. Marketing and customer service: Nearly half (49%) of bankers surveyed said they use gen AI within their marketing or customer service operations. Digital transformation harder than ever Despite that emphasis on making the most of AI, banks continue to struggle with digital transformation. Depending on how far banks are developed in the areas of customer leadership and operational leadership, the study’s authors divided the banks surveyed into four groups. The proportion of “transformation leaders” — the most advanced group — has halved to 11% compared to 2022, while the proportion of “slow starters” has increased from 57% to 66% over that two-year period. Many banking executives said regulatory challenges, lack of operational flexibility, and outdated technologies were the biggest obstacles to their organization’s digital transformation over the past 12 months. In addition, budget constraints were cited as an obstacle by 32% of executives. That budget environment is not only influencing the progress of banks’ digital journeys, but even dictating their direction. According to the study’s authors, two years ago the most important goals of managers were: improving customer experience, increasing profits through new products and services, and increasing sales of existing products. source

However, physical qubits are prone to errors caused by environmental noise, hardware imperfections, and quantum decoherence. To address these challenges, multiple physical qubits are combined to form logical qubits, which leverage quantum error-correction techniques to detect and mitigate errors during computation. Logical qubits play a critical role in enabling reliable quantum computing, as they provide the stability and precision necessary for performing complex algorithms and achieving practical quantum advantage in real-world applications. “Error correction, stability, and scalability are crucial for reliable quantum computations to address real-world applications, and logical qubits are more stable and less error-prone than physical qubits,” said Charlie Dai, VP, principal analyst at Forrester. “This achievement demonstrates substantial progress in such direction towards quantum advantage.” Neutral-atom qubits as the foundation Atom Computing uses neutral atoms manipulated by laser pulses to store and process quantum information. According to the companies, this design provides advantages over other qubit technologies, including scalability and reduced noise sensitivity, which are critical for error correction. Microsoft’s qubit-virtualization system builds on these physical qubits to create logical ones, enabling more stable quantum operations. “Reliable quantum computing requires qubits that can detect and correct errors during computations,” the company noted in a blog post. source

Microsoft will also be offering CaLLM Edge, an automotive-specific, embedded SLM developed by Cerence. CaLLM Edge enables drivers to control functions such as navigation and climate control, and is designed for use in conditions where vehicles might have limited or no cloud connectivity, like remote areas. Rockwell Automation is adding FT Optix Food & Beverage to the Azure AI catalog as well. This SLM helps frontline workers in manufacturing troubleshoot food and beverage assets. It provides factory floor workers and engineers with recommendations, explanations, and knowledge about specific manufacturing processes, machines, and inputs. Two addition manufacturing-aligned SLMs have also been announced, including a co-pilot for Siemens Digital Industries Software’s NX X industrial design software. The SLM enables users to ask natural language questions, access detailed technical insights, and streamline complex design tasks in an effort to streamline complex tasks prone to human error. source

As industries continue to evolve, the integration of digital technologies to streamline service processes is no longer a luxury—it’s a necessity. In today’s digital age, automation, the Internet of Things (IoT), and artificial intelligence (AI) have moved from supporting roles to driving fundamental shifts across industries. In today’s hyper-competitive environment, organizations are harnessing technology to innovate and maintain relevance. A key advancement lies in the convergence of services and technology, designed to capture, organize, and share critical information in real time. This convergence enhances decision-making and sparks innovation across the enterprise. In this landscape, knowledge becomes a strategic asset, and with the right tools, it fuels continuous improvement and future-ready business strategies. Smart service transformation The future of the service supply chain lies at the intersection of technology, services, processes, and people, creating a connected environment where each element works together to drive greater value. At the heart of this transformation is data and analytics, enabling organizations to extract meaningful insights from vast amounts of information. By harnessing this data effectively, businesses can unlock new opportunities, drive innovation in service delivery, and enhance both operational efficiency and the customer experience. This shift goes beyond trend—it’s a reimagining of how business process’ function, with seamless collaboration and interconnected systems providing clear, actionable insights. With this connectivity, decision-makers can move from reactive problem-solving to proactive strategies—anticipating challenges, seizing opportunities, and consistently exceeding customer expectations. For tech-forward service supply chain influencers and innovation-driven service leaders, these insights are game-changers. The ability to leverage data, analytics, and automation is now essential to unlocking the full potential of their supply chains. A few key insights to keep in mind: Unlocking the power of data and analyticsThe potential of data and insights cannot be overstated. Access to previously unknown data, combined with advanced analytics, reshapes not only how we think but also how we act. Data becomes a strategic asset, driving innovation and continuous improvement. With real-time data sharing and decision-making enabled by converging services and technology, organizations can achieve proactive inventory reallocation strategies and reduce unnecessary touches, thereby driving proactive decision-making across the service supply chain ecosystem. Merging data and business-impacting insights for informed decision-makingWhen data and analytics are integrated across all business functions, momentum is created. This synergy, enriched by cohesive visibility across disparate and siloed processes and activities, drives informed decision-making that delivers impactful results and aligns with overarching business goals. The use of AI-based decision-making not only strengthens this combination but also ensures that strategic initiatives contribute to reducing supply chain vendors and enhancing overall operational efficiency. Leveraging digital technology and automation for long-term successDigital technology and automation are no longer optional; they are essential for businesses seeking to thrive in a fast-evolving marketplace. Purpose-driven solutions enable organizations to shape their long-term success by increasing efficiency and positioning themselves to meet future demands. By merging services and technology, businesses can ensure that data is continuously leveraged as a strategic asset to foster continuous improvement and innovation. This approach supports proactive, data-driven decisions that solidify the organization’s readiness for future challenges. As service supply chains evolve, organizations that embrace the right technologies and insights will be positioned not just to adapt but to lead—unlocking new opportunities, driving continuous improvement, and delivering lasting value in a dynamic, ever-changing market. To learn more, visit us here. source