According to a recent report by BCG, women are keeping up with or even slightly outpacing men in adopting GenAI in the workplace. The report, based on a global survey of over 6,500 employees in the technology industry, suggests that GenAI presents an opportunity to reduce the gender gap in tech.
Read MoreAs ML-powered robotics workloads continue to diversify, GenAI technology is emerging as a game-changer. Foundation models are expected to replace or enhance existing ML and deep learning models, leading to more capable and robust robots. This has led to a rise in the global robotics AI chipset market, estimated to reach $866 million by Omdia.
Read MoreGartner predicts that by 2028, one-third of GenAI interactions will involve autonomous agents using AI techniques to complete tasks. Autonomous agents are systems that can accomplish specific goals without human intervention and can improve over time. In the future, users could directly interface with autonomous intent-driven agents, enabling a higher degree of autonomy and better alignment with human goals.
Read MoreAccording to Saul Judah, VP Analyst at Gartner, a D&A governance program must prioritize business outcomes to be successful. During crises, successful CDAOs quickly pivot their D&A strategies to help their organizations. A strategic approach, positioning D&A as an essential business-centric model, is more effective than a reactive, tactical approach that only focuses on data governance.
Read MoreIn 2024, CIOs are expected to prioritize the adoption of gen AI for larger scale implementations. The primary motivation behind enterprise gen AI initiatives is to improve the velocity of existing operations. A recent global survey from Everest Group and Yates Ltd. suggests gen AI has successfully penetrated early enterprise adoption thresholds, with nearly 83% of global enterprises actively testing their capabilities or have already adopted gen AI for production-grade use cases.
Read MoreBy 2027, Gartner predicts over 50% of CDAOs will secure funding for data literacy and AI literacy programs due to the failure of enterprises to achieve the expected value from GenAI. Few organizations are implementing AI literacy programs, but industry executives are beginning to realize that a workforce knowledgeable in data, analytics, and AI is vital.
Read MoreIn a recent FutureScape report, IDC FutureScape: Worldwide Developer and DevOps 2024 Predictions — Asia/Pacific (Excluding Japan) Implications, IDC predicts that by 2028, GenAI-based tools will be capable of writing 70% of software tests, decreasing the need for manual testing, resulting in improvements to test coverage, software usability and code quality.
Read MoreGenAI exploded into the public consciousness in 2023, promising to transform the way business functions. Despite the potential, leaders are struggling to convert hype into reality. According to a new report by BCG, 66% of executives are ambivalent or outright dissatisfied with their organization’s progress on AI and GenAI so far, citing three primary reasons for their dissatisfaction: a lack of talent and skills (62%), an unclear AI and GenAI roadmap and investment priorities (47%), and absence of strategy regarding responsible AI and GenAI (42%).
Read MoreHalf of supply chain leaders plan to implement generative AI (GenAI) in the next 12 months, with an additional 14% already in the implementation stage, according to a survey by Gartner, Inc. The survey data also showed that chief supply chain officers (CSCOs) are dedicating 5.8% of their function’s budget, on average, to GenAI.
Read MoreGovernments worldwide are using GenAI to improve decision-making and services. According to a study by BCG, GenAI could increase productivity in the public sector by $1.75 trillion per year by 2033. This estimate includes all levels of government and various domains.
Read MoreGenerative AI is a rapidly growing field with immense potential. However, its success is not guaranteed, at least not in the short term. To understand the potential hurdles that lie ahead, we asked some of our analysts to share their thoughts.
So, what are the potential issues that could impede the progress of generative AI? Keep reading to find out, and be prepared for what lies ahead!
Read MoreForrester predicts that by 2024, 60% of those who are skeptical about generative AI will end up using and appreciating the technology, without even realizing it. Consumers who are skeptical of genAI will eventually adopt it for tasks that can boost their creativity and productivity, such as seeking help from conversational assistants, summarizing and translating content. Furthermore, the investment in genAI by business, technology, and marketing leaders in the coming year will increase employees' creative problem-solving time by up to 50%, driving customer-centric innovation and creating greater business value.
Read MoreA recent Gartner poll shows organizations are not just talking about generative AI but investing time, money and resources to move it forward and drive business outcomes. In fact, 55% of organizations reported increasing investment in genAI since it surged into the public domain ten months ago, and has now found a place on CEOs’ and boards’ agendas as they seek to take advantage of the transformative potential of this technology.
Read MoreWorldwide end-user spending on security and risk management is projected to total $215 billion in 2024, an increase of 14.3% from 2023, according to a new forecast from Gartner, Inc. 2023 global security and risk management end-user spending is estimated to reach $188.1 billion. The continuous adoption of cloud, continuous hybrid workforce, rapid emergence and use of GenAI, and the evolving regulatory environment are forcing SRM leaders to enhance their security and risk management spending,
Read MoreBy 2028, 60% of B2B seller work will be executed through conversational user interfaces via generative AI sales technologies, up from less than 5% in 2023, according to Gartner, Inc. “Sales operations leaders and their technology teams must prepare for the convergence of new forms of artificial intelligence, dynamic process automation and reinvented deal-planning activities that will transform the sales function,” said Adnan Zijadic, Director Analyst in the Gartner Sales Practice.
Read MoreAccording to Gartner, Inc., by 2025, more than half of all software engineering leader role descriptions will explicitly require oversight of generative AI. Outside of generative AI’s impact on technology implementation, it also changes the managerial responsibilities of software engineering leaders. This includes those related to team management, talent management, and code of ethics. Software engineering leaders will find themselves at a significant disadvantage if they do not recognize and adapt to these changes – facing the risk of being replaced by those who embrace this disruptive technology.
Read MoreWorldwide contact center (CC), CC conversational AI, and virtual assistant end-user spending are projected to total $18.6 billion in 2023, an increase of 16.2% from 2022, according to Gartner, Inc. Near-term investment growth rates for AI and virtual assistants are expected to dip as business volatility creates a lengthening of decision cycles. Longer-term, generative AI will accelerate contact center platform replacement as CX leaders look to improve the efficiency of customer service operations and the overall customer experience.
Read MoreGenerative AI (genAI) will begin to deliver significant ROI for most enterprises in the next two to four years. To fully benefit from genAI applications, firms must navigate its risks, including trustworthiness, evolving regulations, and potential intellectual property complications. GenAI remains a top investment despite risks due to its breadth of broad impact and ability to accelerate many other emerging technologies, including autonomous workplace assistants and conversational AI.
Read MoreGenerative AI, specifically large language models (LLMs), will change how organizations design jobs and resource tasks and allocate responsibilities across the enterprise. However, LLMs come with unique risks compared with other AI implementations. Generative micro apps are an emerging technology that can enable organizations to demonstrate the value of generative AI while minimizing the business’s risk exposures.
Read MoreFrom ChatGPT to DALL-E and all the technologies in between, the new wave of generative AI systems is transforming business rapidly. While employees are optimistic about how AI—and generative AI, in particular—will affect their work, feelings vary considerably by seniority and country.
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