1 in 10 AI Prompts Could Expose Sensitive Data THE Journal

Generate Value From GenAI With Small t Transformations

According to McKinsey, generative AI could add $200 billion to $340 billion in annual value to banking, largely through increased productivity. While traditional AI helps banks analyze data and forecast trends, GenAI goes beyond by providing coherent, contextually relevant outputs based on immeasurably larger inputs. It does this by extracting patterns and structures from vast amounts of customer and market data, giving banks deep insights into underlying factors such as potential risks or fraud and collecting customer information for loan origination. GenAI also enables banks to offer personalized banking and marketing experiences tailored to customer interests and needs. A new Jobs Match tool will give its 1 billion users — who are currently applying for jobs on its platform at a rate of 9,000 applications per minute — immediate advice on whether a particular job opening is worth their time to apply.

In the first half of 2024 itself, the region attracted over US$30 billion in artificial intelligence (AI) infrastructure investments, according to the 2024 e-Conomy SEA Report. Recognizing the increased value Google technologies provide when interconnected and evolved in unison, we created Parfait to support these deployments and the research advances driving them. In 2020, Google introduced federated analytics, which was built on federated learning by applying data science methods to perform analysis of raw data stored locally on users’ devices in private and secure ways.

What Sets Agentic AI Apart From Today’s AI Tools

Generative AI is helping marketers create inventive and compelling content faster than ever. With powerful AI and ML models, marketers can experiment with new ideas and improve performance. The Heritage Foundation’s manifesto for the possible next administration could do great harm to many, including large portions of the game development community. Whatever you think of the data, what matters most at the end of the day is whether the rank-and-file are comfortable using generative AI tools to make fun, successful games.

To avoid producingdeceptive, derivative or otherwise harmful content, DALL-E 3 will not generate images of public figures by name and will not copy the style of another living artist’s work, according to OpenAI. The tool is accessible either through its website or a Discord bot, which can be prompted to create an image using the “/imagine” command. Since its launch in 2022, Midjourney has become a popular (yet controversial) tool for publications, authors, journalists and other creatives.

While it positions itself as an all-in-one marketing app, Jasper is a popular text generator, offering a suite of tools to help users write, optimize and rank their content. The tool can generate content in a variety of brand voices and lengths, whether it’s a social media post, long-form article or press release. Jasper also comes with a chat feature, a language translation tool (trained on more than 80 languages) and an art generator, which produces royalty-free images that can be used in ads, blogs and social media posts.

These advancements promise to make software development more exciting and efficient, but they also pose significant ethical and technical challenges. In today’s software engineering landscape, where technology is progressing at an unprecedented pace, educational institutions must focus on preparing students for the challenges they will face in the workplace. Generative AI is not just a tool for productivity—it is a force multiplier for creativity, innovation, and economic growth. In Southeast Asia, where creativity and digital transformation intersect, AI has the power to propel industries forward, unlock new opportunities, and elevate the region on the global stage. With its youthful population, increasing digital penetration, and booming creative economy, the region stands at the cusp of a generative AI-led transformation.

Opinion: How will Project 2025 impact game developers?

“It’s a significant addition because it streamlines the development of chat and agent-based applications, enabling even non-technical users to build production-grade RAG solutions [and reduces] time to value.” Of particular importance is that Chroma DB does not provide AI development capabilities, Petrie continued. Chroma DB, like Pinecone, is a popular vector database among users of the open source LangChain framework for building and running generative AI tools. Today the CMSWire community consists of over 5 million influential customer experience, customer service and digital experience leaders, the majority of whom are based in North America and employed by medium to large organizations. CMSWire’s Marketing & Customer Experience Leadership channel is the go-to hub for actionable research, editorial and opinion for CMOs, aspiring CMOs and today’s customer experience innovators.

Our dedicated editorial and research teams focus on bringing you the data and information you need to navigate today’s complex customer, organizational and technical landscapes. Colossyan helps companies create training, marketing and corporate communication videos by generating human-like AI avatars that deliver material with realistic lip-syncing. The platform offers hundreds of diverse avatars, voices and customizable backdrops, and even enables scenarios where multiple avatars can interact with each other. It can automatically translate into more than 70 languages, and includes features like conversation modes and multiple-choice quizzes for assessing viewer engagement. Claude generates natural written responses to both text and image-based user inputs.

Generative AI represents more than just technological advancement; it is an enabler of creativity, efficiency, and innovation, empowering businesses to create faster, scale smarter, and compete globally. We believe strong, formal privacy guarantees are increasingly practical in real-world deployments, and we are committed to making our approaches and innovations open to the public. We encourage privacy engineers and researchers outside of Google to make their approaches public, too, and are excited about the potential for continued and further collaborations across industry and with academia. More recently we previewed our novel approach to using CPU TEEs to enable Android devices to verify the exact version of the server-side software that may decrypt uploaded messages. This approach builds on Project Oak and a software keystore hosted in our new trusted computations platform.

• The battle between malicious and defensive uses of AI will likely define the future landscape of cybersecurity.
• The researchers tested GhostGPT’s capabilities by asking it to write a phishing email from Docusign, and the chatbot responded with a template for a convincing email directing the recipient to click a link to review a document.
• People analytics platform that generates automated summaries of employee feedback surveys.
• The Gemini app experience for teen students has been designed to identify content that may be inappropriate to teen users and trigger policies and guardrails to help prevent inappropriate responses.
• Today the CMSWire community consists of over 5 million influential customer experience, customer service and digital experience leaders, the majority of whom are based in North America and employed by medium to large organizations.

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. Tools that assist in idea generation, creative writing, and visual design allow human creatives to focus on higher-level strategy and innovation, while AI handles repetitive or time-intensive tasks. This synergy between human ingenuity and AI efficiency is particularly relevant in Southeast Asia, where the advertising industry is thriving as brands look to connect with increasingly digital-first audiences. As generative AI advances, the need for more private AI systems that protect users’ data and give them control throughout the AI lifecycle remains a top priority.

Created by Luma AI, the tool was built on a scalable, multimodal transformer architecture. It can generate clips up to five seconds long, complete with realistic physics, smooth cinematography and even drama. In addition, Dream Machine lets users repurpose and edit content, allowing them to experiment with different versions. The platform caters to a wide range of creators, from vocalists seeking backing tracks to marketers in need of mood-setting music for their social media posts. All users have to do is choose their preferred genre, mood, tempo and song length (up to five minutes).

This shift in search is redefining how consumers engage with search engines and the digital world. In fact, Google expects its AI Overviews to reach 1 billion searchers before the end of the year. According to what users want to generate, Generative AI uses huge AI language models trained using massive datasets and deep learning techniques.

Researchers and clinicians can narrow their searches even further based on factors like methodology, study design and sample size. Elicit is a platform that allows users to navigate a database of more than 125 million research papers by submitting requests and questions in natural conversation. Not only can users receive single-sentence summaries of a piece, but they can also rely on Elicit to locate other relevant research papers and organize their findings into tables. Users can even upload their own PDFs and ask Elicit questions for further analysis. Developed by former Google DeepMind researchers, Udio produces both vocals and instrumentals.

The NotebookLM tool is included as well, providing an AI research assistant that helps teams analyze topics, generate insights, and share knowledge more effectively. Generative AI can analyze large volumes of data to create personalized advertisements, design visuals, and generate copy that resonates with consumers. For example, AI models can produce multiple iterations of a single advertisement, customized for different demographics, platforms, and languages. This level of personalization was once unthinkable at scale but is now achievable in real-time, thanks to generative AI.

Moreover, those teams must ensure they don’t violate any data privacy regulations or data security laws during that training, she added. Teams similarly can use GenAI to configure and reconfigure security software such as firewalls to help eliminate weak spots and strengthen defenses overall, Velleca added, as the technology can identify misconfigurations in addition to vulnerabilities. Enterprise security leaders can use GenAI to write policies and tailor security communications to various audiences, Nwankpa said. This helps cybersecurity officials save time and develop and disseminate more effective communications.

While many organizations have begun implementing such measures, the report highlighted the need for broader adoption of these safeguards as generative AI becomes increasingly integrated into workplace processes. Dive into our article on the top generative AI startups to uncover the pioneers driving innovation in the creative industry. I built this guide and selected top generative AI tools in different fields to help you determine which ones can elevate your efficiency.

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. Similar to other teaching tools, AI Tutor won’t give the student the exact answer to their query but will direct them in ways that boost students’ self-efficacy and problem-solving skills using Socratic questioning. “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. New data from Macmillan Learning finds AI tutors can assist in student learning and skill-building, as well as increase learner confidence to ask questions and dig deeper into materials. AI-powered chat bots have grown in popularity, with an Inside Higher Ed survey this fall showing 50 percent of chief technology officers are building their own chat bots and assistants.

These are critical questions that will shape the future development of agentic AI systems. Companies are pitching hospitals on AI features to speed up processes and reduce staffing pressures, Zimmerman said. However, those customers are more closely scrutinizing AI tools to see if they’re worth the cost, said Brian Anderson, CEO of the nonprofit Coalition for Health AI (CHAI).

Generative AI tools can respond to this challenge by offering adaptive solutions that cater to individual learning needs and institutional requirements. From creating personalized professional learning plans to automating continuing education documentation, AI-driven PD tools can assist educators to focus on meaningful growth instead of administrative requirements. Its availability on platforms like Telegram makes it accessible even to individuals with minimal technical expertise.

Educators are often required to earn continuing education units (CEUs) to maintain their licenses, an often-complicated process governed by unfamiliar bureaucratic requirements. Generative AI can streamline this process by automating the tracking and documentation of CEUs. Imagine an AI-integrated system that logs professional development activities as they occur, calculating and updating CEU credits in real time. AI tools may be used to change the landscape of professional development by offering versatile tools that cater to the diverse needs of educators. These systems would help ensure that PD initiatives remain relevant, practical, and balance both personal priorities and institutional requirements.

Incorporating artificial intelligence is a key priority for industries, and business leaders looking to make a relatively rapid, enterprisewide impact may be considering tapping into generative AI. The conversational interface can make it easier for professionals with limited tech expertise to delve into data or streamline certain tasks through experimentation and their own unique knowledge. The lack of enthusiasm from developers attending GDC is almost an inverse of the breathless hype surrounding generative AI in the broader marketplace. You’d think there would be more alignment if you take claims about the technology at face value. After all, boosted productivity and faster asset creation aren’t inherently bad things—developers have been creating tools to solve those problems for as long as there’s been a video game industry. Generative AI is a subset of AI specializing in creating new content, such as text, images, or audio, based on learned patterns.

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. Federated learning, which Google introduced in 2016, is an innovative, privacy-enhancing approach that enables developers to train ML models across many devices without centralized data collection, ensuring that only the user has a copy of their data. Since then, Federated Learning has been used to enhance the privacy of many experiences like expressions in Gboard and improving the quality of smart replies in Android Messages. Parfait has been used to provide research and production code for Google deployments of federated learning and analytics from Gboard to Android’s Private Compute Core, to Google Maps.

Generative AI provides real-time subtitles, converts text to speech, and improves material readability in education in addition to language translation. Generative AI transforms established methods and opens new opportunities as enterprises leverage AI-driven innovation. Real-time quality control using machine learning algorithms detects and fixes errors quickly, reducing the likelihood of poor items reaching the market.

We’re here to help you navigate the rapidly shifting and weird landscape of generative AI. Whether you’re an independent practitioner or part of a larger team trying to make sense of this emerging technology, you’ll find concrete and actionable insights in the lineup of articles we’ve selected this week. They each tackle the nuts and bolts of building AI apps and leveraging their potential for well-defined goals, while avoiding common pain points. Suno and Udio are among the most popular generative music AI tools on the market today.

Army evaluating generative AI tools to support business ops – DefenseScoop

Army evaluating generative AI tools to support business ops.

Posted: Tue, 14 Jan 2025 20:19:38 GMT [source]

The assessment is slated to end in April, after which the department hopes to create a list of capabilities that can be purchased by various service components based on their needs and mission requirements. By understanding these regulations early on, students are better prepared to make responsible choices and question AI outputs that may otherwise be biased or inaccurate. This balanced approach to AI use is essential in preparing students to work in an industry where ethical considerations are increasingly integral to technical proficiency. This experience gave students the necessary technical skills, along with a genuine understanding of how to translate user needs into functional software. By working alongside these industry mentors, students gain practical insights that textbooks cannot provide.

They are versatile, and their use is typically defined and refined by its users, the researchers write. Our project team interviewed the senior managers of various functions, including artificial intelligence, data science, innovation, operations, and sales, at 21 large companies. We focused on understanding what organizations with relatively early and broad GenAI adoption are doing and why. The Qwen model family, including the Qwen2.5 series with parameters ranging from 7 billion to 72 billion, is now accessible via APIs through Alibaba Cloud’s Model Studio platform. Developers can also use multimodal models like Qwen-VL for vision understanding, Tongyi Wanxiang for image generation, and Qwen-Audio for audio processing. This climate of layoff fatigue is paired with a growing apathy towards generative AI tools, often touted as the industry’s future.

Traditional security measures like firewalls and email filters struggle to detect AI-generated content due to its human-like quality. This makes AI-powered cybersecurity solutions essential for combating these threats. The shift from purely generative to more agentic AI represents a fundamental reimagining of what artificial intelligence can be. As these systems become more sophisticated and widespread, they have the potential to transform industries, enhance human capabilities, and open new frontiers in human-machine collaboration.

For example, newspaper Die Presse uses it to generate interview questions, story ideas and social media headlines. Media groups, including Schibsted, use it to transcribe interviews and for copy editing. Hearst Newspapers applies the technology for headlines, SEO keywords and summaries. 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. So, here’s an overview of some of the best applications and tools out there for automating customer service.

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. People who know how to use AI will replace those who are not trained or certified in AI. As cybercriminals increasingly adopt such tools, the cybersecurity community must innovate equally sophisticated defenses. The battle between malicious and defensive uses of AI will likely define the future landscape of cybersecurity.

GhostGPT is marketed as an “uncensored AI” and is likely a wrapper for a jailbroken version of ChatGPT or an open-source GenAI model, the Abnormal Security researchers wrote. See how different industries can collaborate to improve global health outcomes with digital health solutions. 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. The AI Tutor, when toggled on by the professor, is embedded into STEM courses to support student learning. “Our societies are approaching hundreds of AI companies with a request to negotiate a license [recognizing] that they are using works that belong to the creators,” Oron said. Oron said that not a single AI developer had signed a licensing agreement with any of the 225 collective management organizations (CMOs), performance rights organizations (PROs), or other collection societies that are members of CISAC worldwide.

“They’re achieving massive productivity gains by directing AI to handle specific tasks using established patterns,” he continued. For starters, gen AI “is reinventing productivity and efficiency in software development, giving developers more time for strategic and creative work,” Paul McDonagh-Smith, senior lecturer of IT at MIT Sloan Executive Education, told ZDNET. These tools are proving transformative in just about every area of software development, including code generation, testing, debugging, and documentation, he added. “In streamlining repetitive coding tasks, these tools are allowing developers to move more quickly onto more complex software design and problem-solving.” The companies we studied consider security issues, integration with other systems, and output sensitivity in deciding where to begin and where to go next. CarMax’s GenAI solutions currently have some human-in-the-loop elements, according to Shamim Mohammad, the company’s executive vice president and chief information and technology officer.

Given that vectors, which are numerical representations of data, can be used to give structure to unstructured data so it can be searched and discovered, vector databases have emerged as a key part of AI development pipelines. Look for new and better ways to access data and reporting from the platforms you regularly use. Meanwhile, there’s now more talk about newer concepts like warehouse native analytics. In fairness, “data” was the second most-used word, but this concept wasn’t specifically mentioned.

By fostering collaboration between humans and machines, Southeast Asia can position itself as a leader in the AI-powered creative economy. The gaming industry—already a booming sector in Southeast Asia—is another area benefiting from generative AI. AI-powered procedural generation can create entire game worlds, personalized experiences, and dynamic narratives tailored to each player’s decisions. The result is more immersive, engaging, and scalable games that cater to the region’s tech-savvy audiences. As businesses and governments across Southeast Asia strive to position themselves as leaders in the digital economy, AI’s role is only set to grow.

Once the song has been generated, users can customize the music before freely distributing and monetizing their creations on platforms like YouTube, TikTok and Instagram without any copyright concerns. Generative AI tools now span various types that can produce text, images, audio, videos and code. Generative artificial intelligence has become more common in education technology tools, including textbooks and learning management systems.