Gartner 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 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 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 MoreBy 2025, Gartner predicts 50% of consumers will quit or reduce social media use due to declining quality. A Gartner survey found 53% of consumers thought social media quality has declined compared to the past due to misinformation, toxic users, and bots. Consumers fear GenAI integration will worsen user experience. Emily Weiss, Senior Principal Researcher at Gartner, advises CMOs to refocus acquisition and retention strategies as users increasingly limit their social media use.
Read MoreGartner outlines six trends that will significantly impact infrastructure and operations (I&O) over the next 12 to 18 months. I&O leaders have limited resources to track emerging trends and their impact on I&O, with a recommendation to I&O leaders to use the top trends impacting I&O for 2024 to identify which trends are most likely to impact their organization and implement effective tactics to respond.
Read More68% of finance organizations are using or planning to use AI, according to a recent survey by Gartner. Of 133 finance leaders surveyed in May 2023, 39% are currently using AI/ML, and 29% plan to use it in the future. Successful AI-forward finance organizations embrace AI at the C-suite level and embed data science teams within finance departments. Employees should view AI as a co-worker, not a threat to their jobs, for the highest likelihood and magnitude of success.
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 MoreBy 2026, fines due to mismanagement of subject rights will have increased to over $1 billion, according to Gartner, Inc. For SRM leaders in B2C organizations, automating subject rights or consumer privacy rights management has become a basic requirement and a prerequisite for building trust. The management of SRRs can enhance customer trust levels by providing a positive privacy user experience (UX).
Read MoreAccording to Gartner, Inc, five innovative revenue and sales technologies are improving CX through coordinated efforts to support digital and physical selling. GenAI, DToC, process mining, self-integrating applications, and AR/VR for sales are being flagged as transformational innovations. These technologies remove friction in business processes, propel growth, and help leaders mitigate external influences that create unforeseen uncertainty. Gartner expects each to have a high or transformational impact within the decade.
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 More79% of corporate strategists say technologies such as analytics, AI, and automation will be critical to success over the next two years. Strategists said that, on average, 50% of strategic planning and execution activities could be partially or fully automated; currently, only 15% are. Leveraging analytics and AI for more efficient, insightful strategy decisions is one of the biggest challenges and opportunities corporate strategists face this year.
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 MoreFour common myths obscure the full value of cybersecurity for the enterprise and inhibit security program effectiveness. According to Gartner, Inc. CISOs must embrace a “Minimum Effective” mindset to maximize cybersecurity’s impact on the business. Many CISOs are burnt out and feel they have little control over their stressors or work-life balance. Cybersecurity leaders and their teams are putting in the maximum effort, but it’s not having maximum impact.
Read MoreThe rapid progress of AI tools in finance has made it more important than ever for CFOs and finance leaders to demonstrate three core pillars of human leadership: adaptivity, empathy, and authenticity. As AI becomes ever more capable and carries out more work, inevitably, the question arises about whether AI replaces human employees. The picture emerging as organizations put advanced digital technology into action is a lot more nuanced than whether a job stays or doesn’t.
Read MoreLegal and compliance leaders should address their organization’s exposure to six specific ChatGPT risks, and what guardrails to establish to ensure responsible enterprise use of generative AI tools. LLM tools are prone to several risks, meaning legal and compliance leaders should assess if these issues present a material risk to their enterprise and what controls are needed, both within the enterprise and extended third and nth parties to avoid legal, reputational, and financial consequences.”
Read MoreLabor productivity levels are historically low and stalled out largely due to a lack of investment in workforce innovations. One clear symptom is that turnover is 33% higher in supply chain organizations compared to pre-pandemic levels. While that may paint a discouraging picture, it also provides an excellent basis for supply chain leaders to experiment and rethink how they unlock, mobilize and augment the workforce to greater productivity.
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