BMC Software survey: IT leaders bullish on generative and agentic AI

Generative AI Use for Sustainability: A Zero-Sum Game?

Named on the Thinkers50 Radar 2022 list of up-and-coming global thought leaders, she helps businesses to tackle cybersecurity, data privacy, and digital ethics challenges, and enables CEOs and other executives to understand these issues. The implementation of autonomous agents faces challenges similar to broader generative AI adoption, including data quality issues, workforce preparation and risk management considerations. “These two surveys have very different methodologies, so the fact that they produce such similar results is a good sign that the data is pretty accurate.”

These attitudes run counter to other surveys about developer adoption of generative AI. Organizations like venture capital firm Andreesen Horowitz (a16z) have polled developers and reported that 73 percent of game studios using AI technology, and that about 67 percent of developers are “excited” about using AI in game development. It seems developers view AI tools as going beyond supporting productivity and creativity. “I think AI generated code is currently low quality, and can give rise to subtle bugs that the person using the AI doesn’t understand,” one respondent told GDC. “If the models advance far enough, this concern might go away, but I’m skeptical. I think right now developers are better [off] avoiding AI code, unless it is for something small like a one time use script.” A Generative AI Engineer specializes in building and fine-tuning AI models that generate new content.

by MIT Technology Review Insights

We help you gain critical insights and make more informed decisions across your business priorities. We’ve been playing with generative AI, learning how to interact with AI-based augmentation and changing the way we work for two years. Let’s acknowledge both AI’s strengths and weaknesses, as well as our own, to achieve great things together. These virtual personalities can be customized to match specific demographics and interests, which allows brands to do research quickly to understand and reach niche audiences. Again, the three marketing trends most on my mind for the coming year weren’t even hinted at in any of the 90 suggestions I received from generative AI.

How generative AI is paving the way for transformative federal operations – FedScoop

How generative AI is paving the way for transformative federal operations.

Posted: Thu, 23 Jan 2025 20:30:44 GMT [source]

Since its release in November 2022, GenAI adoption has skyrocketed due to its ability to produce unique and relevant content[1]. Generative artificial intelligence (AI) has the potential to accelerate Europe’s digital transformation and boost our competitiveness. This rapidly evolving technology builds on significant advances in AI research and the increasing availability of high-quality data, computing power, and machine learning. The “Voice of SecOps 5th Edition 2024” report from cybersecurity company Deep Instinct — conducted by Sapio Research — surveyed 500 senior cybersecurity experts from companies with 1,000-plus employees in the U.S. The report found that 97% of security professionals worry their organization will fall victim to an AI-generated cybersecurity incident; 33% of respondents said they view adversarial AI as a major or critical threat to their organization. In a broader context, generative AI can enhance resource management within organizations.

Marketing

By automating repetitive and mundane tasks, GenAI enables project managers to focus on higher-value activities such as strategic planning and stakeholder management. These AI tools can intelligently assign tasks, predict potential bottlenecks, and suggest optimal workflows, making project planning more dynamic and responsive[5]. Despite the numerous advantages, the integration of GenAI also presents certain challenges.

Multiple reports described how GenAI can cull through historical, internal and external data to understand the context of what’s happening. This lets the technology predict demand, optimize inventory levels, identify potential risks such as possible disruptions, optimize logistics such as transportation routes, ensure regulatory compliance and automate tasks. Organizations must address ethical questions and compliance requirements as they move forward to make sure they’re getting benefits and minimizing risks. They also should rework processes to integrate AI alongside their human employees in ways that deliver the most benefits to workers, customers and the organization. Well one respondent who answered the question “what concerns do you have about Generative AI, and what can be done to address them?” may have had the simplest answer—one that goes beyond the ethical concerns over using the technology.

Healthcare and life sciences

Generative AI also provides advanced training environments by offering realistic and dynamic scenarios, which enhance the decision-making skills of IT security professionals [3]. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI including identifying and explaining various impactful AI complexities (see the link here). In addition, for my comprehensive analysis of how AI is being used specifically in medical and healthcare applications, such as for well-being coaching, mental health guidance, overall cognitive therapy, and mind-improving care, see the link here.

• Generative AI creates detailed character designs, environments, and settings, significantly speeding up production.
• By contrast, it’s actually access to finance and regulation that are regularly cited as the main obstacles to entering the generative AI market, in particular for smaller players.
• These practices can include cataloging AI models and data and implementing governance controls.
• Organizations are using GenAI to bring the power of analytics to more workers throughout the organization, Livingston said — a move that gives everyone the ability to make data-driven decisions.

The AI Tutor, when toggled on by the professor, is embedded into STEM courses to support student learning. The student surveys were fielded in fall 2024 at nine institutions as two-week regular check-ins, so student response rate varies by question. “The tutor is like an extension of an instructor or teaching assistant that guides them without judgment, or the stigma of asking basic questions, whenever they need support,” according to a December press release.

This capability is particularly beneficial in software development projects, where efficiency in code generation and optimization is crucial[8]. The use of machine learning (ML) techniques, such as regression and clustering, further enhances predictive modeling and pattern recognition, providing deeper insights into project performance metrics[8]. Health disparities present additional challenges to marginalized groups in accessing medical resources and health services, potentially hindering the achievement of fairness. Although generative AI models are trained on extensive data, the pre-training data itself exhibits imbalances in representing different groups. For example, 92.64% of the pre-training corpus of GPT-3 is derived from English sources, resulting in limited coverage of communities that use other languages1. This skewness could make it challenging to meet the medical needs of underrepresented groups.

One significant challenge of generative AI models in health care is their potential to generate incorrect or unfaithful information7,8. Although there are already specific models pre-trained on large amounts of medical data, such as Med-PaLM2 and Med-Gemini, the phenomenon of “hallucination” cannot be avoided29,30. This issue is extremely sensitive since any false information related to disease diagnosis, treatment plans, or medication guidance will likely cause serious harm to patients31. Stock loss issues can arise from outdated or inefficient business processes, which can become a significant hurdle in the long term.

Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions. While traditional SEO remains a cornerstone of digital strategies, GEO introduces a forward-thinking approach to ensuring brand visibility and influence in generative AI-driven searches. Generative AI improves farming and food production through its ability to customize crop breeds.

Influence of GenAI on Project Manager Careers

As the technology continues to evolve, its impact on project management practices and careers will likely expand, heralding a new era of efficiency and innovation in the field. For example, medication errors are a major category of medical mistakes, resulting in numerous patient fatalities each year32,33. During the stage of converting prescription instructions into a standard format, pharmacy technicians may incorrectly record dosage, frequency, or route of administration32. Additionally, when patients transfer medications from their original packaging to other containers, it becomes difficult for pharmacists to recognize the medications, which could lead to omission errors33.

Why Generative Engine Optimization (GEO) Is the New SEO – Built In

Why Generative Engine Optimization (GEO) Is the New SEO.

Posted: Fri, 24 Jan 2025 17:34:13 GMT [source]

Media groups, including Schibsted, use it to transcribe interviews and for copy editing. KSAT-TV uses AI to transcribe videos into text, while News Corp Australia employs generative AI to produce 3,000 local news stories a week. Stakeholders can also query ChatGPT or other generative AI tools, such as Claude, Bing or Gemini, for explanations of images. “We have these complex graphs — for example, the linear regression model. ChatGPT tells me what it is and how it applies to my market,” Grennan said.

Wong noted that few organizations are advanced enough in their GenAI use to do this work, adding that those who use GenAI in this manner are leading the way for others to follow. Those uses are just the start, according to the report, which highlighted nearly two dozen applications of GenAI. Successful scaling strategies identified in the research include centralised governance frameworks, phased adoption approaches, external partnerships and continuous refinement of implementations.

• At the same time, it could be exploited to churn out defamatory content designed to push female leaders out of public life.
• Use cases include content generation, proposal writing, planning, detection and data visualization.
• “All the customers were on hold because they weren’t going to be putting any money on non-generative AI and they didn’t know what their product roadmap was going to look like,” Singer says.
• Generative AI models are trained on vast datasets, often containing copyrighted materials scraped from the internet, including books, articles, music and art.

For example, GenAI parses research papers into more intelligible language and summaries, making it easier for clinicians to understand them. GenAI, too, can be powered into chatbots that provide patients with lucid information, diagnoses, procedures and medical instructions. For medical imaging specialists, these large language models (LLMs) are fine-tuned with medical images and reference materials to pinpoint and describe abnormalities in patient images. Large Language Models (LLMs), a subset of GenAI, facilitate multilingual support by translating queries and responses in real time.

This approach reduces costs and offers 24/7 portfolio monitoring without requiring direct human oversight. For organizations to stay relevant, they need to upskill, reskill and continually improve employee performance. GenAI assists talent managers in creating a unified talent lifecycle, enabling organizations to engage with and assess candidates and employees and helping recruits realize their potential and ultimately thrive within the organization. Fashion designers utilize GenAI’s huge troves of historical and current fashion data to generate unique and avant-garde designs. In the same way, they can use smart prompts to help them optimize production processes, reduce waste, make smarter sourcing and sustainability decisions and anticipate trends. For dressmakers or tailors, clothes can be personalized by analyzing individual preferences, body measurements and style choices, while customers can use AI to virtually visualize how garments will look on them before deciding whether to purchase.

Concerns around regulatory compliance have emerged as the top barrier holding organisations back from developing and deploying GenAI tools and applications – increasing by 10 percentage points from the Wave 1 survey (28%) to Wave 4 (38%). Sixty-nine percent of respondents say fully implementing a governance strategy will take more than a year to resolve, underscoring the need for perseverance and a strategic approach to setting the correct governance foundation. To act decisively in the face of uncertainty, organisations should focus on market sensing and scenario planning, with an eye on uncovering potential blind spots in their strategies and make more informed decisions today.

Furthermore, having to admit to that person that you are struggling with icebreakers might be a personal embarrassment. The additional issue is that you might suddenly think of an icebreaker late at night and want to immediately test it out. In preparing for meeting with people, it can be a valuable payoff to come up beforehand with some ready-made icebreakers. Using a prepared icebreaker as though it was canned will almost be as bad as using a lousy icebreaker altogether.

These findings emerge from research by Deloitte, indicating organisations are taking longer than anticipated to scale Gen AI projects, even as most report positive returns on investment. Users in the UK started encountering problems just before midday, and others in the USA also encountered difficulties accessing the service. The Heritage Foundation’s manifesto for the possible next administration could do great harm to many, including large portions of the game development community.