What Is Agentic AI? Bain & Company

Bias in Generative AI Addressing The Risk

Llama Stack provides essential tools like safety guardrails, telemetry, monitoring systems, and robust evaluation capabilities in production environments. These features enable developers to maintain high performance and security standards while delivering reliable AI solutions. Unlike traditional search engines that rely on keyword searches, GenAI enables researchers to analyze large data sets at scale, quickly identify relevant precedents and summarize key points. In fact, GenAI saves researchers and lawyers time by generating abstracts and analyzing decisions and cases from the vast pool of legal texts it’s trained on. Legal professionals across corporations, law courts and governments use AI-powered tools, such as Spellbook and Juro, to process large data sets, summarize legal briefs and documents, prepare tax returns, draft contracts and personalize correspondence. Tax attorneys told Thomson Reuters they use GenAI for accounting, bookkeeping and tax research.

The rapid rise of artificial intelligence (AI) is no longer confined to the realm of futuristic science fiction. In Southeast Asia, AI has become a catalyst for digital transformation, influencing industries, economies, and everyday lives. A particular game-changer has emerged in the form of Generative AI, a technology that is redefining creative industries such as media, advertising, and content production. The content generated by generative AI models could perpetuate biases inherent in the pre-training data, which are reflected in aspects including demographic characteristics, political ideologies, and sexual orientations12,13,20. Such biases can not only lead to unfair diagnoses and treatments but also exacerbate health inequalities for particular populations. Visibility into an organization’s actual process is the only way to determine its efficiency, agility, and resilience.

Any opinions, findings and conclusions, or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Ministry of Health. We are at an inflection point in shaping the kind of GenAI-powered future we want to see. While this is troubling at a societal level, at the level of individual organizations, bias in GenAI can also constitute a serious threat. Let’s conclude with a supportive quote on the overall notion of using icebreakers and engaging in conversations with other people.

They offer authentic insights from real customers who have experienced your products firsthand, making them an invaluable resource for creating descriptions that resonate. Reviews are a goldmine of data for ecommerce sites, yet many businesses fail to fully harness their potential. So with a ‘streamlined’ team of just five employees, Robust Intelligence pushed forward and managed to ship to Expedia on time.

Table of Contents

Generative AI, particularly models such as ChatGPT that use large-scale language models (LLM), has introduced a new dimension to cybersecurity due to its high degree of versatility and potential impact across the cybersecurity field[2]. This technology has brought both opportunities and challenges, as it enhances the ability to detect and neutralize cyber threats while also posing risks if exploited by cybercriminals [3]. The dual nature of generative AI in cybersecurity underscores the need for careful implementation and regulation to harness its benefits while mitigating potential drawbacks[4] [5].

When AI-generated content competes with human creators, courts are unlikely to view its use of copyrighted material as fair. They would show a consumer the cost of a hotel or flight, and the prediction of whether or not they would purchase the room or the ticket was AI driven. Robust’s firewall needed to analyze the accuracy of Expedia’s AI’s predictions, while also testing it for vulnerabilities.

Combining federated learning with blockchain technology further reinforces security control over stored and shared data in IoT networks[8]. Although its use in research and development is still mostly experimental, Livingston said GenAI has already shown promise in helping organizations jumpstart R&D activities. The technology can find promising opportunities to explore, identify which opportunities have the most potential and then iterate through different options very quickly. In a December 2024 survey, research firm Gartner found that 85% of customer service leaders will explore or pilot customer-facing conversational GenAI systems in 2025. Technology Magazine focuses on technology news, key technology interviews, technology videos, the ‘Technology Podcast’ series along with an ever-expanding range of focused technology white papers and webinars. The survey reveals that organisations are exploring autonomous agents, AI systems designed to complete tasks with minimal human intervention.

They might use GenAI to identify such opportunities, or they might use GenAI as the basis for their innovations, products and services. The report from Enterprise Strategy Group found increased productivity as the No. 1 benefit from GenAI, with 60% of respondents stating GenAI delivered value on that front. That’s because GenAI enables organizations to do more work, faster and with fewer resources. As employees ramp up their use of GenAI and optimize its capabilities, they can use the technology to perform a greater number of tasks, creating even more significant productivity gains for their organizations, Wong said. GenAI also generates computer code, user requirements and related documentation, resulting in significant time savings for programmers, Rowan said. The technology brings coding capabilities to nontechnologists, enabling them to bring software features and functions to life quickly and nearly automatically, further speeding the time between ideation to delivery of code.

And our newest community, VKTR, is home for AI practitioners and forward thinking leaders focused on the business of enterprise AI. To provide some more forward-thinking marketing trends and predictions, I relied on my own efforts, along with insights from over 200 experts I interact with annually through my podcasts. I also read industry publications, write a few books a year and go to a dozen industry events annually. In this exercise, I learned that generative AI is extremely useful for gleaning general knowledge and common ideas, as well as in analyzing data in extremely short amounts of time.

Researchers at Stanford Propose a Unified Regression-based Machine Learning Framework for Sequence Models with…

No one can say for sure how this is going to affect the populace on a near-term and long-term basis. The AI could at times be dispensing crummy advice and steering people in untoward directions. 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.

• Fourth, RAG systems face certain privacy risks, as sensitive information stored in retrieval databases can be extracted through designed prompts.
• “Game development is supposed to be art and an expression of one’s imagination, not an AI-generated concept with no real thought process,” reads the quote from a respondent that leads the section on Generative AI tools.
• Social media and film and television streaming were the top in-app revenue-producing categories, accounting for $11.7 billion and $11.9 billion in spending, respectively.
• With its user-friendly tools, comprehensive ecosystem, and vision for future enhancements, Llama Stack is poised to become an essential ally for developers navigating the generative AI landscape.

The technology is so convincing that schools in Arizona and London plan to replace their human teachers with AI-driven instruction. Across the healthcare sector — from administrators to practitioners, clinicians, researchers, medical imaging specialists, patients and beyond — generative AI is revolutionizing the field, making stakeholders’ jobs easier, faster and more efficient. Yet, optimism remains high, with 98% of the respondents expecting to reap future benefits from genAI, such as increased productivity, reduced maintenance needs, and lower costs. Also, the more mature the organization’s AI implementations are, the more optimistic the respondents are about the technology; 62% of those with advanced implementations predict significant future value.

This capability ensures effective communication and collaboration among diverse, global teams, which is increasingly common in Agile and SAFe practices[10]. The real-time translation aids in eliminating language barriers, thereby fostering a more inclusive and efficient working environment. Moreover, using AI and ML in a data warehouse provides organizations with a single source of truth that aligns decision-making processes across the board[2]. This integration ensures that all data-driven decisions are based on the same accurate and up-to-date information, enhancing overall operational efficiency. The survey results highlight the need for organizations to both embrace AI’s potential and recognize the practical challenges for implementation.

In film and animation, generative AI tools can create hyper-realistic characters, automate CGI rendering, and even assist in scriptwriting and storyboarding. Production houses can reduce both the cost and time involved in content creation, enabling Southeast Asian storytellers to compete on a global stage. Similarly, in the world of art and design, AI-generated visuals and installations are sparking debates about what constitutes creativity while unlocking new frontiers for artists. For instance, AI tools can now generate high-quality articles, social media posts, and press materials within minutes, ensuring brands and media outlets stay agile in today’s fast-paced environment. In addition, AI-driven translation and localization tools can adapt content for Southeast Asia’s diverse linguistic landscape, helping companies reach broader audiences more efficiently.

Furthermore, GenAI can generate weekly summaries based on meeting notes, thus streamlining communication within the team[5]. Revolutionizing Gameplay with AI-Driven InnovationGenerative AI is reshaping the gaming industry, offering unprecedented creativity and innovation. From procedurally generated content to AI-driven narratives, the integration of this technology is paving the way for a gaming revolution. For instance, large language models (LLMs) were shown to generate biased responses by adopting outdated race-based equations to estimate renal function12.

Brand reputation and loyalty suffer when organizations fail to uphold ethical standards and societal values. And in a world where integration is accelerating, it is only natural that laws and guidelines around the use of GenAI will intensify. Organizations found wanting in the regulatory context are likely to face increasingly stringent financial and operational consequences. Abe describes this as “one of thousands” of ideas needed for game development that, by using AI to churn out simple solutions, the developers can spend less time on these individual decisions. Specifically, Capcom is using a Gemini AI model that is fed all sorts of details and information about the game to generate ideas that are internally consistent. That TV problem, for example, would be unlikely to come up during their samurai-era Onimusha series.

Companies like IBM are already investing in this technology, with plans to release generative AI security capabilities that automate manual tasks, optimize security teams’ time, and improve overall performance and effectiveness[4]. These advancements include creating simple summaries of security incidents, enhancing threat intelligence capabilities, and automatically responding to security threats[4]. Moreover, generative AI’s ability to simulate various scenarios is critical in developing robust defenses against both known and emerging threats. By automating routine security tasks, it frees cybersecurity teams to tackle more complex challenges, optimizing resource allocation [3].

Industry layoffs have continued, to the point where one in 10 developers say they’ve lost their jobs in the past year. More studios adopt Generative AI, even though it’s increasingly unpopular among developers. Working hours are going up, investment opportunities are shrinking, and recent severe weather events… are drawing attention to the growing impact of climate disasters. How is your institution measuring the effectiveness of AI-powered tools in the classroom? A majority of learners said they’d be disappointed if the tool was no longer available, but students indicated concerns about equity, with some respondents indicating AI tutors should be made available equally to all learners in the course.

Consumer spend on generative AI apps hit nearly $1.1B in 2024: report – Marketing Dive

Consumer spend on generative AI apps hit nearly $1.1B in 2024: report.

Posted: Thu, 23 Jan 2025 17:25:29 GMT [source]

Along with identifying an increase in in-app spending, Sensor Tower’s latest state of the industry report shows that consumers’ time spent on their mobile phones increased by 5.8% YoY in 2024 to a whopping 4.2 trillion total hours worldwide. Wider availability of generative AI platforms led to a massive increase in the category’s revenue take, though it remains behind established stalwarts. Finally, contrary to reported concerns that AI will replace workers, 63% of the responding service and operations stakeholders believe that genAI will improve jobs, with only 1% expressing concerns about job displacement. This suggests that IT professionals see AI as an enhancing force rather than as a replacement for human expertise. Given the complexity of training and managing a large language model (LLM), 24% are utilizing open source LLMs such as Llama or Google Gemini and developing their own homegrown solutions.

Discover content

AI can also adapt visual styles to match the player’s preferences or gameplay, further immersing them in the game world. Together, we can harness the power of generative AI to build a future where technology empowers creativity, drives regional transformation, and shapes a better world for all. This work was supported by the Duke-NUS Signature Research Program funded by the Ministry of Health, Singapore.

While AI offers immense potential, it also raises significant ethical and creative concerns. NPCs can form alliances, display emotions, and adjust their tactics, adding unpredictability and enhancing gameplay. Generative AI creates detailed character designs, environments, and settings, significantly speeding up production.

Over the past three years, generative AI has transformed industries by creating new content in text, image, music and video formats. Derivatives of GenAI include chatbots, high-quality content, automated summarization, intelligent recommendation engines, virtual tutors and AI-powered creativity tools. Project managers who adeptly incorporate GenAI into their workflows can gain a competitive edge. Enterprises that leverage GenAI for tasks such as code generation, text generation, and visual design can significantly enhance their productivity and innovation capabilities [3].

This proactive approach not only mitigates the risks of breaches but also minimizes their impact. For security event and incident management (SIEM), generative AI enhances data analysis and anomaly detection by learning from historical security data and establishing a baseline of normal network behavior [3]. On the other hand, GenAI also benefits teachers and administration through task automation, including creating and grading assignments and exams, generating gamified learning programs such as complex quizzes, and producing engaging content. GenAI can tailor the student learning experience, turning lessons into visual dramas for some and crafting narratives and games for others based on students’ preferences, needs and capabilities.

With its ability to find, retrieve and analyze data, the technology is helping organizations improve supply chain management. “People will end up having to review generated content rather than create things themselves, which is not what we all get into the industry for,” another wrote. Agentic AI for multi-step processes, synthetic personas for cost-effective research and democratized data giving marketers better access to decision-making insights. Instead, I was able to use those AI tools to get a sense of what is already out there and to do some very quick analysis and interpretation. Also, by using my existing knowledge of the industry, I was able to validate that the assumptions the generative AI tools made were on the right track. In fairness, “data” was the second most-used word, but this concept wasn’t specifically mentioned.

However, in reality, these patients generally have different disease progression and prognoses due to differences in their biomarkers (e.g., DNA, RNA, proteins, metabolites, host cells, and microbiomes)44. Although collecting and protecting such sensitive data remains a challenge, RAG could better leverage this information for precision medicine practices. Specifically, the RAG system may be able to comprehensively analyze a patient’s biomarkers, classify them into more granular subgroups, and recommend appropriate personalized treatment plans to physicians based on established clinical guidelines. Generative AI has limitations such as biased reproduction, lack of transparency, inaccurate information, and static knowledge, which hinder its further application in health care. Retrieval-augmented generation holds the potential to alleviate these issues and drive medical innovation from the perspectives of equity, reliability, and personalization. While newer technologies like AI and machine learning (ML) are the go-to solutions for manufacturers grappling with inefficiencies, these technologies cannot deliver value if they are only technology-centered experiments within an organization.

This threat also created an unprecedented opportunity for Robust, assuming they could figure out how to update their offerings fast enough to keep the company afloat. “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. For some, stumbling upon this realization would have been enough to drop out of grad school and immediately pivot into startup mode, but Singer still felt the pull of the ivory tower—this time to the East Coast to teach at Harvard. Ironically, thousands of miles from Silicon Valley, Harvard is where he wound up meeting his future cofounder, Kojin Oshiba, an undergraduate seated in the front row of his graduate seminar. If you are going to learn AI, there are a number of free classes online that would be a great place to start. AI is here to stay, but it won’t be replacing humans anytime soon, as the human touch still needs to be added to any AI content.

Generative artificial intelligence (AI) has recently attracted widespread attention across various fields, including the GPT1,2 and LLaMA3,4 series for text generation, DALL-E5 for image generation, as well as Sora6 for video generation. In health care systems, generative AI holds promise for applications in consulting, diagnosis, treatment, management, and education7,8. Additionally, the utilization of generative AI could enhance the quality of health services for patients while alleviating the workload for clinicians8,9,10. Moreover, generative AI technologies can be exploited by cybercriminals to create sophisticated threats, such as malware and phishing scams, at an unprecedented scale[4]. The same capabilities that enhance threat detection can be reversed by adversaries to identify and exploit vulnerabilities in security systems [3].

AI lacks the intent to create something transformative, making it challenging to meet this critical fair use requirement. While these factors have worked well in traditional scenarios like criticism, parody or education, generative AI presents unique challenges that stretch these boundaries. Don’t let anyone bamboozle you into thinking that generative AI is going to be the best thing since sliced bread when it comes to finding ways to overcome imposter syndrome. To be fair and balanced, let’s also identify some of the downsides of using generative AI for this noble purpose. Seriously consider trying out generative AI as a tool for dealing with imposter syndrome. The roughest angle to imposter syndrome seems to be a potentially vicious cycle that can ensue.

Securely Analyzing Qualitative Data With Artificial Intelligence – Child Trends

Securely Analyzing Qualitative Data With Artificial Intelligence.

Posted: Fri, 24 Jan 2025 10:03:45 GMT [source]

Additionally, GenAI capabilities can be leveraged for scenario analysis, insights generation, and assessing business implications, which in turn enhance the overall business acumen of project managers[7]. RAG is able to obtain information from external knowledge sources, including medical literature, clinical guidelines, and case reports, to optimize the output of generative AI models17. By retrieving information specific to certain subpopulations, the model could analyze a patient’s condition from multiple perspectives, potentially reducing the risk of bias contained in the generated content.

PC development has skyrocketed, more studios are prioritizing game accessibility, unionization support holds steady, and Hollywood continues to see the value in adapting games for the big (and small) screen. After using the tool, 44 percent of students (435 students, four surveys, 207 responses) reported increased confidence in their problem-solving abilities and, over time, a quarter of students say they use it less because they’ve honed their own skills. The fair use doctrine was designed for specific, limited scenarios—not for the large-scale, automated consumption of copyrighted material by generative AI. While the technology holds immense potential, its current reliance on copyrighted works without permission makes fair use a weak defense. In January 2023, Yaron Singer woke up in a suburban Las Vegas Airbnb with the feeling that things were finally on the upswing for his company, Robust Intelligence.

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and response, thus significantly enhancing the ability of organizations to safeguard their digital assets. This technology allows for the automation of routine security tasks, facilitating a more proactive approach to threat management and allowing security professionals to focus on complex challenges. The adaptability and learning capabilities of generative AI make it a valuable asset in the dynamic and ever-evolving cybersecurity landscape [1][2].