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A+ Federal Credit Union earns two top honors in 2026 World's Best Consumer Digital Bank awards. Sep 08, 2026, 13:22 ET A+FCU Recognized as Best Consumer Digital Bank and Best Mobile Banking App in the United States AUSTIN, Texas, Sept. 8, 2026 /PRNewswire/ - A+ Federal Credit Union (A+FCU) is proud to announce it has been recognized by Global Finance, in partnership with Infosys, in the 2026 World's Best Consumer Digital Banking Awards, earning two prestigious honors in the United States region: * Best Consumer Digital Bank * Best Mobile Banking App The recognition marks the second consecutive year A+FCU received the Best Mobile Banking App award and its first year earning the Best Consumer Digital Bank distinction, reinforcing the credit union's commitment to delivering an exceptional digital banking experience for its members. "We're honored to receive these awards and especially proud to be recognized for a second year in a row as the #1 Mobile Banking App in the U.S.," said Brandon McGee, Chief Digital Strategy Officer of A+FCU. "Adding the 2026 Best Consumer Digital Bank award further validates the investments our A+ team has made to create a seamless, secure, and innovative digital experience that helps our members manage their finances anytime, anywhere." Best Consumer Digital Bank Award winners were selected based on criteria including strength of strategy for attracting and servicing digital customers, growth of digital customers, breadth of product offerings, and evidence of tangible benefits gained from digital initiatives. The award-winning A+ Mobile App continues to provide members with convenient, secure access to their accounts and financial tools, including: * Biometric login and enhanced security features * Real-time transaction alerts * Card controls and budgeting tools * Online account opening * Mobile check deposit * Instant money transfers between friends and family * Free monthly credit score updates * Streamlined direct deposit setup * Live chat support "As member expectations continue to evolve, we're focused on building digital solutions that make banking easier and more accessible," McGee said. "These awards reflect our team's dedication to innovation and our commitment to helping members live their A+ lives." A+FCU members can download the A+ Mobile App from the App Store or Google Play to experience award-winning digital banking firsthand. A+ Federal Credit Union was founded in 1949 by 50 Austin, Texas teachers. Over seventy-seven years later, A+FCU is an award-winning institution with more than 191,000 members throughout the community, $2.52 billion in assets, over 520 employees, and 22 branches. A+FCU supports members with a full range of financial products including home, auto, and business loans, checking and savings accounts, as well as digital banking solutions for banking on the go. Learn more at aplusfcu.org. SOURCE A+ Federal Credit Union

Haptik appoints Adarsh as Head - Enterprise Business to drive global AI growth. September 1, 2026 Haptik has appointed Adarsh as Head - Enterprise Business, strengthening its enterprise leadership as the AI-focused company continues to expand its global business and pursue new opportunities in enterprise AI. In his new role, Adarsh will lead Haptik's enterprise business function, with a focus on business development, client partnerships, AI solutions and international expansion. His mandate will include identifying new enterprise opportunities, strengthening relationships with existing and prospective clients, and supporting the adoption of AI-powered solutions across global markets. Adarsh brings experience across enterprise business, business development, digital transformation, technology solutions and client management. His professional background spans the technology and digital services sectors, where he has worked on enterprise solutions, technology-led business initiatives and client engagement. Before joining Haptik, Adarsh held roles at Trianz, Novum Digital and Infosys. His experience across these organisations has provided exposure to enterprise technology, digital transformation, business development and technology-driven growth. His career has involved working with businesses on technology and digital initiatives while building experience in understanding client requirements, developing enterprise solutions and supporting business expansion. This combination of technology and commercial experience will be relevant to his new enterprise leadership mandate at Haptik. At Haptik, Adarsh will focus on expanding global enterprise opportunities and strengthening the company's relationships with enterprise customers. He will also work towards driving the adoption of AI-powered solutions and identifying new business opportunities across international markets. The appointment comes as enterprises increasingly explore AI-led solutions to improve customer engagement, automate processes and create more efficient digital experiences. For Haptik, strengthening its enterprise leadership is part of its broader effort to expand the reach of its AI solutions among businesses globally. As Head - Enterprise Business, Adarsh will also be responsible for aligning the enterprise business strategy with Haptik's wider growth objectives. His responsibilities will span business development, client engagement, strategic partnerships and the expansion of enterprise opportunities. His experience across Infosys, Novum Digital and Trianz adds a technology and enterprise perspective to Haptik's business leadership. His background in digital transformation and client-facing technology initiatives further supports his role in developing enterprise relationships and driving business growth. The appointment marks a new chapter in Adarsh's career and strengthens Haptik's enterprise leadership as the company looks to expand its presence in global markets and accelerate the adoption of AI-powered solutions among enterprise customers. - Advertisement -

How mentorship helps you grow in Data Engineering course at Bosscoder Academy. Bosscoder Academy Date: 31st August, 2026 Summarise this blog Learning Data Engineering is not only about understanding Python, SQL or data pipelines. For working professionals, one of the bigger challenges is knowing what to learn, how to practice it and how to connect different concepts to real engineering work. This is where mentorship can make a difference. The Bosscoder Academy Data Engineering Program combines structured learning, live classes, hands-on projects, 1:1 mentorship and career preparation. The programme is designed for working professionals, developers and data analysts who want to build Data Engineering skills or transition into Data Engineering roles. Why mentorship matters in Data Engineering. Data Engineering covers a wide range of skills. Professionals may need to work with SQL, Python, ETL, data warehousing, Big Data, cloud platforms, streaming systems and more. Learning these topics individually is one thing. Understanding how they work together in a real data environment is another. A mentor can help professionals: * Understand difficult technical concepts * Identify gaps in their preparation * Get feedback on their approach * Stay consistent with their learning * Connect concepts with real engineering scenarios * Prepare for technical interviews * Think more clearly about their career direction Instead of trying to figure out everything alone, the learning process can become: Learn | Practice | Discuss | Get Feedback | Improve For someone balancing a full-time job with an online Data Engineering course, having this kind of guidance can make the journey more structured. Learning from people with industry experience. One of the important parts of the Bosscoder Academy Data Engineering Program is its instructor and mentor network. The programme introduces professionals with experience across companies such as Google, Microsoft, Amazon, Mastercard, Philips and Fractal, among others. For example, Simran Bindra, listed as Data Engineer II at Google, brings experience in building scalable data pipelines, managing workflows and working with technologies such as Snowflake, Apache Airflow, SQL and cloud tools. Another mentor, Mudita Sharma, is a Data Engineer at Fractal and former Infosys professional, with experience in data pipelines, data processing and cloud technologies. The mentor panel also includes Kalyan Reddy Kandula, listed as Data Engineer II at Philips and formerly with EY and Azira. His profile highlights experience with Python, SQL, PySpark, AWS, Azure, Databricks, Hadoop, Kafka and Airflow. These profiles give professionals an opportunity to learn from professionals who have worked with technologies and data systems used in industry. Mentorship goes beyond doubt solving. It is easy to think of mentorship as simply having someone answer questions when you get stuck. In a professional learning programme, it can be much broader. A mentor can help you understand whether you are approaching a problem in the right way, where your preparation needs improvement and how one skill connects with another. For example: SQL | Data Processing | ETL | Data Warehousing | Big Data | Cloud Seeing this complete journey can help professionals understand why each topic matters instead of treating every technology as a separate subject. Bosscoder's programme combines mentorship with a curriculum covering areas such as Python, SQL, Apache Spark, AWS, Azure, data pipelines, ETL processes and Big Data systems. Practical projects make mentorship more useful. Mentorship becomes even more relevant when professionals have something practical to work on. The Data Engineering Program includes projects inspired by real business and technology use cases, including projects around Tesla vehicle telemetry, Airbnb bookings, Netflix streaming analytics, Spotify music analytics, Uber ride data and Walmart sales analytics. Working on projects gives professionals something concrete to discuss with mentors. The process can look like: Project | Implementation | Challenge | Mentor Feedback | Improvement This helps move learning beyond watching classes or reading documentation. Guidance for working professionals. Learning alongside a full-time job requires consistency. A professional may understand a concept during a class but struggle to find time to practice it later. Without a clear plan, it can also become difficult to decide what should be studied next. A structured programme with mentorship, assignments and projects can help provide direction and accountability. The programme's positioning specifically includes working professionals, developers and data analysts among its target audience. This makes mentorship particularly relevant for professionals who are trying to upgrade their skills without putting their current careers on hold. Mentorship can also help with career preparation. Technical skills are only one part of preparing for a Data Engineering role. Professionals also need to be comfortable explaining projects, discussing technical decisions and approaching interviews. Bosscoder Academy's Data Engineering Program includes mock interviews, resume support, mentorship and placement assistance as part of its career-focused approach. Mentors such as Gaurav Sinha, listed as Data Engineer at Mastercard, and Manan Narula, listed as Data Engineer at Microsoft, bring additional industry experience to the instructor and mentor network. The programme also includes Rajat Garg, Co-founder of Bosscoder and former Microsoft professional, whose profile highlights his engineering and mentorship experience. The objective is not to promise a particular career outcome, but to give professionals a more structured environment for learning and preparation. Why mentorship can make an online Data Engineering course better. Online learning offers flexibility, but flexibility can sometimes come with a lack of direction. A professional may have access to plenty of learning material but still wonder: * What should I learn next? * Is my approach correct? * Am I ready for interviews? * How can I improve this project? * Which skills should I strengthen? Mentorship can help address these questions while keeping the learning process connected to the larger goal. That is why the value of an online Data Engineering course is not only about the number of technologies included in the curriculum. The learning experience also depends on guidance, practice, feedback and consistency. A more guided way to learn Data Engineering. For working professionals, changing or strengthening a technical career takes time. There is no shortcut to building strong fundamentals and practical skills. However, having the right guidance can make the process easier to navigate. The Bosscoder Academy Data Engineering Program brings together structured learning, practical projects, industry-experienced instructors and mentors, interview preparation and career support. The broader idea is simple: Learn the fundamentals | Build practical skills | Get guidance | Improve | Prepare for opportunities For professionals considering a Data Engineering course, mentorship can therefore be an important part of the decision not because a mentor can do the work for you, but because the right guidance can help you spend your time learning and practicing with greater direction. Frequently asked questions (faqs). 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