Image: StackCommerce TL;DR: Gain expert-level Adobe training in Photoshop, Illustrator, Premiere Pro, InDesign, and more for just $29.99 (reg. $200) with this 51-hour course bundle. Adobe’s creative tools are the gold standard in graphic design, publishing, photography, and video editing. Whether you’re a graphic designer refining your craft, a marketer creating standout visuals, or a freelancer looking to expand your services, mastering Adobe software is a smart way to stay competitive in today’s digital landscape. Now, you can get expert-level Adobe training at an unbeatable price. The 2025 All-in-One Adobe Creative Suite Bundle includes 10 multi-lesson courses covering 51 hours of in-depth instruction, and it’s available for just $29.99 — a significant drop from its original $200 price tag. This comprehensive training bundle features professional courses on Photoshop, Illustrator, InDesign, Premiere Pro, Lightroom, Adobe XD, and more, designed to give you hands-on experience with industry-leading creative software. Whether you’re creating professional layouts in InDesign, mastering vector graphics in Illustrator, or learning powerful photo-editing techniques in Photoshop, this bundle provides the skills and confidence to take your creative projects to the next level. Proficiency in Adobe software isn’t just a nice-to-have skill — it’s a career advantage. Companies and clients expect high-quality visuals, whether for branding, marketing, social media, or digital publishing. With this training bundle, you’ll learn to design compelling visuals, create professional-grade layouts, and edit photos and videos with precision, all while working on hands-on projects to reinforce your skills. For graphic designers, the Adobe Illustrator Masterclass provides step-by-step guidance on vector-based design, including typography, shape-building, and advanced drawing tools. For publishers and content creators, the Adobe InDesign course simplifies layout design, text formatting, and document preparation, making it easier to create high-quality brochures, magazines, and reports. No matter your industry, this Adobe training bundle will help you work faster, create better designs, and improve your creative output. Get the 2025 All-in-One Adobe Creative Suite Bundle for just $29.99 while it’s still available. The 2025 All-in-One Adobe Creative Suite Bundle – $29.99 StackSocial prices subject to change. source

The music industry is always evolving. Artists, trends, labels, and media platforms emerge and depart with startling regularity. Yet performers, recording firms, concert promoters, and other industry players may now be facing their biggest transformation challenge yet — artificial intelligence.  Even at this relatively early stage, there’s no area of the business that’s unaffected, says Daniel Abowd, president of music publishing company The Royalty Network. “On the creation side, AI-powered tools are being used to enhance and synthesize performance, editing, production, post-production, and post-release content,” he explains in an email interview. “On the consumption side, AI is powering listener and playlisting algorithms and other tools that deliver listeners to content.”  There’s already been an incredible number of AI-supported use cases, says Andrew Sanchez, co-founder of Udio, which offers a generative AI model that produces music based on simple text prompts. He observes, via email, that The Beatles’ “Now and Then,” which was restored with the help of AI, was recently nominated for two Grammys in the Record of the Year and Best Rock Performance categories.  There’s always been a distance between music creators and listeners, Sanchez states. He notes that AI is helping to reduce that gap by allowing a more direct dialogue between artists and their fans. “When artists release music that fans can then remix, extend, distort, or otherwise interact with through AI, it opens up an entirely new revenue stream for artists and means of engagement.”  Related:Breaking Through the AI Bottlenecks GenAI, in particular, opens a new way to explore musical creativity, inviting people who might otherwise never engage with music, says Mike Clem, CEO of musical equipment retailer Sweetwater. “It takes patience and grit to learn an instrument, and AI lowers the bar on the talent required to sound good,” he explains in an online interview. As a result, there’s now a new wave of music makers experimenting with AI, who then learn to play a “real” instrument.  AI-generated music tools are also helping artists accelerate their creative processes, allowing them to generate hits that match the pace of pop culture innovation, Sanchez says. He notes that comedian Willonius Hatcher, known as King Willonius, used Udio to create an AI-assisted song called “BBL Drizzy.”   “The song made waves in pop culture when Metro Boomin sampled it,” Sanchez says, “marking the first time an AI-generated song was sampled by a major producer.”  A Generational Transformation  Related:Why AI Model Management Is So Important Unlike their predecessors, many modern musicians have no desire to appear live on stage or even record an album, Clem says. He believes there’s now a transition from ‘musicians’ to ‘creators,’ fueled in part by AI. “It’s about creating content that connects with their audiences to build and grow their following,” he explains.  Music has evolved throughout history, thanks to artists who aren’t afraid to push the status quo, Sanchez says. “The transformation in AI is really being led by artists who understand how AI-generated music tools can enhance their creative processes.”  Some industry observers view AI as a potential replacement for human artists. But Sanchez disagrees. “In reality, we believe that human creativity will never be cut out of the process,” he says. “The songs that rise to the top have the confluence of the creative spark and the understanding of what people actually want to listen to.”  Both Sides Now  AI-powered tools can enhance, empower, and inspire human creativity, Abowd says. They can simplify many creative tasks, such as editing out breaths from a vocal track. With consent, AI technology can also enhance or simulate the vocal sound of a singer who’s no longer able to perform as they did years ago, as well as inspire songwriters with a foundational sound concept they can build upon.  Related:How Big of a Threat Is AI Voice Cloning to the Enterprise? On the downside, there’s the possible existential threat posed by AI models that use unlicensed human-authored music to create new works that will compete in the same marketplace, potentially at a lower price point, Abowd says. “Reasonable people can disagree on the magnitude of that threat, but it’s certainly a conversation on the tip of many people’s tongues.”  A Golden Opportunity  Sanchez believes that blending AI with art presents a golden opportunity to create a powerful, transformative creativity technology that will open new revenue options for artists. Fans will benefit, too. “It’s clear from recent music tour successes … that consumers are interested in immersive experiences that put them at the helm of the storyline.”  There’s something very innately human and beautiful about expressing yourself musically, Clem observes. “AI may displace some commercial music production — for example, in commercials and video game soundtracks — but we’re in no danger of computers replacing our desire to express ourselves creatively, or our desire to experience live music and all its attached emotions and nostalgia,” he notes. “There’s something about music that resonates in our souls in ways that we cannot explain.”  source

By Jeremy Oczek, Jessica Copeland and Brendan Goodwine ( March 11, 2025, 6:24 PM EDT) — Before the U.S. Supreme Court’s 2017 decision in TC Heartland LLC v. Kraft Foods Group Brands LLC, broad interpretation of venue laws by the U.S. Court of Appeals for the Federal Circuit allowed patent owners to file infringement suits in virtually any federal district court…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

According to consulting firm Korn Ferry,[1] the average CIO is in their role for just 4.6 years. That’s shorter than most of their boardroom peers and significantly less than CEOs’ average tenure of 6.9 years. Disheartening though this fact is, it may not come as a surprise to CIOs themselves, given the sky-high expectations they often have to meet and the relentless pressure inherent in their role. Many CIOs are hired with a critical mandate to modernize their organization’s digital foundations. But doing this successfully means fighting on multiple fronts at once: overhauling years of legacy technology, consolidating fragmented data, and battling entrenched ways of working. All while keeping the lights on today. Few C-suite peers are faced with such a daunting to-do list. Growing challenges If anything, this dynamic has got more challenging recently, according to Shane Guthrie, a VP at application delivery and security company F5. While there used to be “a healthy tension” between short- and long-term digital initiatives, he says, that’s been upended in the last few years by a massively accelerated pace of change driven by algorithms, LLMs and other new technologies. “In every single industry that I’ve looked at,” Guthrie notes, “innovation is threatening to outpace the long-term planning of most organizations.” What makes this harder to deal with is the novelty of the challenges IT leaders face. “With a massive shift towards digital and rapid developments in AI, we’re all operating without much precedent,” says Adobe’s technology partnerships director, Marie Knight. “There’s no training for this, so CIOs are writing the playbook as they go along.” The power of partnership So how can CIOs best navigate these enormous pressures? A key factor is working with an experienced and reliable partner, who can provide both the technical expertise and strategic guidance needed. With a partner like Tata Communications, CIOs can get help sequencing changes effectively, based on an understanding of their goals and the unique circumstances of their organization. “Partnership is the most important thing for our customers,” says Raj Purkayastha, VP Head of Pre Sales and Strategy, Americas at Tata Communications. “We find they don’t just want a vendor, they want a partner – someone who can come in and really help them achieve their objectives.” Personal chemistry and trust are important too. A good partner should offer a blend of support, mixing much-needed allyship with an external perspective that constructively challenges the CIO when appropriate. Tackling the low-hanging fruit Within their limited tenure, the reality is that a CIO probably only has a runway of two or three years to demonstrate progress. That’s not enough to complete a big transformation project, notes Tata Communications’ Purkayastha, so it’s important to ruthlessly prioritize. “Oftentimes, the key is going after low-hanging fruit that can make an outsized difference and set a clear foundation to build on in future activity,” Purkayastha says. This leads CIOs toward infrastructure, and specifically the network as the place where they can have the biggest impact quickly, creating the most value with the least disruption. Network enhancement can underpin broader transformation too, setting CIOs up for success over a longer timeframe. Phased approach “In my experience, the key to balancing legacy systems with new technologies lies in a strategic, phased approach,” confirms technology leader Vipin Kalra, who has worked in senior tech roles in the US, UK, India and Australia. Leading technology partners like Tata Communications help organizations optimize their network infrastructure, assessing their hyperconnected ecosystem, identifying prime candidates for transformation, and building a pragmatic roadmap that aligns with business objectives. This ultimately strengthens enterprises’ digital fabric and allows them to scale, adapt and compete on a global stage. “When you’re working on a transformation program, there are steps to it,” says Purkayastha. “Network transformation definitely needs to be top of the priority list, as this makes a big difference to customers and employees. With that step complete, it’s easier for CIOs to then turn toward tackling bigger challenges.” For CIOs racing against the clock to deliver results, the key lies in balancing vision with execution. By working with a trusted partner to stage transformational initiatives thoughtfully, they can secure the quick wins needed to maintain confidence while laying the groundwork for long-term digital evolution. To learn more, visit Tata Communications’ website. ____________________________________________________________________________________________________________________________________________________________ [1] Age and tenure in the C-Suite source

The Federal Trade Commission’s recent amendments to the Children’s Online Privacy Protection Act will expand protections for children online, meaning parents will have greater control over their children’s data and tech companies must potentially change their current privacy practices — or risk noncompliance, say attorneys at Labaton Keller. source

In today’s rapidly evolving technology landscape, technology leaders face the challenge of effectively pricing asset-based services to reflect customer value. As traditional pricing models fall short in capturing the true value of these services, technology leaders must adopt innovative strategies to fully monetize their assets and intellectual property. Understanding the shift to asset-based services The demand for asset-based services is on the rise. Buyers prioritize these services for their ability to deliver faster value and greater insights, accelerating competitive advantage and operational change. Traditional pricing models, which focus on people-based services and vendor margins, fail to capture the customer value inherent in asset-based services. These services require different revenue timing, cost structures, and stakeholder alignment, necessitating a shift in pricing strategies. The technology industry is witnessing a blurring of traditional boundaries, with service providers, software companies, and cloud infrastructure providers expanding their offerings. This shift presents new growth opportunities, driven by competitive dynamics that redefine organizational roles. Buyers are increasingly attentive to the effective use of prebuilt assets, tools, and platforms, as these elements are crucial for achieving faster value and higher quality insights. Technology leaders must align with buyers’ desired outcomes and business goals to deliver on these expectations. Leveraging multiple pricing models Traditional service-pricing models, such as time-and-materials or fixed-price contracts, do not adequately reflect the value of asset-based services. These models often fail to connect with the “time-to-value” or desired business outcomes that clients seek. To overcome these limitations, tech services leaders must understand the commercial value of their services and set prices that reflect the impact of their assets. This requires a multidimensional pricing approach that accommodates the diverse nature of assets and their potential to deliver quantifiable commercial outcomes. Gartner has found that service providers using multiple pricing models report higher gross profits, lower customer acquisition costs, and greater customer lifetime value. These providers also generate more new revenue from existing accounts, highlighting the benefits of a varied pricing approach. By expanding pricing options and aligning them with customer outcomes, tech services leaders can strengthen their services-based business and capitalize on growth opportunities in asset-based services. Steps for pricing asset-based services To properly price asset-based services, technology leaders must: Prioritize assets and IP: Make assets and intellectual property core to service delivery by investing in modular, flexible, and repeatable solutions. Develop metrics that demonstrate faster time to value and focus on contextualized, industry-specific outcomes. Adopt hybrid pricing models: Utilize a mix of commercial models that simplify client understanding and directly tie to customer outcomes. This approach ensures that pricing reflects the true value delivered to clients. Invest in professional practices: Ensure the success of asset-based services by funding professional product engineering, product-centric operating models, and effective sales engagement. To fully monetize their assets, technology leaders must effectively communicate the value of their offerings, connecting them to the desired business outcomes clients seek. By adopting a comprehensive approach to pricing and positioning, service providers can navigate the evolving landscape and maximize the potential of asset-based services. Image: Gartner Katie Gove is a VP Analyst in Gartner’s Technology and Service Provider Research team, where she covers the services market. Katie and other Gartner analysts will provide further analysis on these topics at Gartner Tech Growth & Innovation Conference, taking place March 10-11 in Grapevine, TX.   source

By Emilie Ruscoe ( March 13, 2025, 5:24 PM EDT) — Energy storage company Fluence Energy Inc. faces a proposed investor class action alleging it concealed the impact to its revenues of growing rifts and falling business with its founders, German conglomerate Siemens AG and U.S. utility company AES Corp…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Three years ago, Lee Sustar and I published the report, Navigate The Cloud-Native Ecosystem In 2022. In that report, we analyzed how the cloud-native ecosystem, driven by open-source software (OSS), has been powering architecture modernization across infrastructure and application development, enabling platform-driven innovation in the meantime across a spectrum of technology domains such as data and AI. Since then, we have witnessed the same critical role being played by OSS amid the rise of generative AI and agentic AI, as well as the influential impact of DeepSeek. Many firms now look to the cloud-native ecosystem to accelerate their AI initiatives. OSS AI in the cloud-native ecosystem accelerates innovation and lowers the threshold for contributing to AI initiatives by providing access to a vast array of tools, frameworks, libraries, and models. While enterprises can use these resources to build and customize AI solutions tailored to their needs, the rapid development of open-source AI also introduces complexity and maturity challenges. As a result, we recently published another two reports: Navigate The Open-Source AI Ecosystem In The Cloud and The Key Challenges Of Open-Source Software In AI. In these two reports, we not only outline the major open-source AI initiatives within the cloud-native ecosystem but also provide an overview of the major barriers to OSS AI adoption in terms of cost, governance, and complexity, with a deep dive into the specific openness complexity of AI foundation models. More importantly, we provide a holistic view of key areas of the open-source AI ecosystem in cloud and representative offerings in the global market. Specifically: Open-source AI infrastructure powers scalable AI workloads in distributed cloud. In AI cloud infrastructure, open-source AI cluster orchestration enables firms to execute, schedule, orchestrate, and scale AI workloads. Open-source AI storage enables object, block, and file storage and supports virtualization for AI applications. Open-source AI data infrastructure supports AI models in various infrastructure segments, such as feature stores for AI models and databases such as relational, distributed cache, vector, and multimodel databases. Open-source AI models as a service enable ModelOps across the cloud model development lifecycle. Open-source AI data management covers data preparation, analytics, and visualization. Open-source AI model development spans AI models; machine-learning (ML) and deep-learning frameworks; AI model fine-tuning; and development collaboration. Open-source AI models target distributed model serving and inferencing in the cloud and on-premises with model compilers and MLOps support. Open-source AI observability provides insights into AI workloads and models. Open-source AI app-dev streamlines RAG and AI agent development. Open-source retrieval-augmented generation (RAG) plays a key role in enterprise adoption of AI applications. Open-source agentic AI platforms with AI agents at the core create agentic workflows and build multiagent systems to automate complex tasks and power applications. Open-source chatbots powered by large language models offer easy solutions for contextual chatbot support. Open-source AI software enables a range of segments for AI DevOps automation. Open-source AI governance offers cloud-native guardrails for the AI supply chain. Open-source AI security for AI models and supply chains evaluates ML models and apps and defends them against threats. Open-source AI privacy and ethics help firms assess ML models and data sets for fairness and bias and improve privacy and ethics. Open-source policy management allows cloud security experts to control access, enforce data privacy policies, and comply with security standards for AI and other applications. Open-source AI communities facilitate collaborative innovation. Mainstream open-source AI communities such as the Cloud Native Computing Foundation and Linux Foundation prioritize AI in community initiatives. Vendors are driving open-source collaboration via dedicated AI model communities. Open-source AI model benchmarking organizations are making substantial contributions, especially on open data sets for model evaluation.   Enterprise decision-makers should understand that embracing open source doesn’t mean using open-source components directly to build your platform from scratch. Instead, in most cases, you should choose mature commercial offerings with an open architecture and support for mainstream open-source components from reliable partners. For more details or if you would like to share your thoughts on this, please book an inquiry or guidance session with us to discuss. source

Could agentic AI accomplish that task? Could it work through complex, dynamic branch points, make autonomous decisions and act on them? That requires stringing logic together across thousands of decisions. I’ve spent more than 25 years working with machine learning and automation technology, and agentic AI is clearly a difficult problem to solve. A potential game-changer for and against fraud The more complicated a system is, the more vulnerable it is to attack. Agentic AI worries me on that front because fraudsters can use the technology to exploit weaknesses in security. Document verification, for instance, might seem straightforward, but it involves multiple steps, including image capture and data collection, behind the scenes. That creates a large surface area for fraudsters to probe with agentic AI, and they can do it far faster with that technology. source

By Nadia Dreid ( March 13, 2025, 6:58 PM EDT) — President Donald Trump’s first Federal Communications Commission chief Ajit Pai, who led the charge to repeal net neutrality during his first term, has been tapped as the new head of wireless trade group CTIA…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source