Generative AI Tools Archives - gettectonic.com

Agentforce: Modernizing 311 and Case Management

Join Tectonic for an informational webinar on Salesforce Agentforce, Modernizing 311 services, and Case management. In this webinar you will hear: For more information fill out the contact us form below or reach out to the Public Sector team [email protected] Get ready for the Next Frontier in Enterprise AI: Shaping Public Policies for Trusted AI Agents! AI agents are a technological revolution – the third wave of artificial intelligence after predictive and generative AI. They go beyond traditional automation, being capable of searching for relevant data, analyzing it to formulate a plan, and then putting the plan into action. Users can configure agents with guardrails that specify what actions they can take and when tasks should be handed off to humans. Agentic AI is already here. Innovative organizations have started deploying and benefitting from AI agents in concrete ways. However, for governments, enterprises, and the workforce to be able to harness the full potential of AI agents, they will need more than just the right technology; they will need the right public policies to help them become agent-ready. At a time when global policymakers seek pathways to economic growth, the advent of AI agents offers a unique opportunity to think deeply about the policies that will enable the diffusion of trusted AI in government and the enterprise, and equip the workforce with the necessary skills to unlock AI’s full potential for enhanced productivity and more meaningful work. AI agents build on earlier innovations, including chatbots and AI assistants. These all play a role in task automation; however, there are differences in their levels of sophistication and personalization in serving their users and the range of tasks they can perform. Key considerations for AI agents: Government services as a role model for agentic AI and humans together Governments today face ever-increasing pressures to serve citizens with constrained resources. Research surveying people in over 40 countries has shown that 75% expect government service quality to be on par with leading private sector companies, while 72% are comfortable with personalized government digital services. Amidst these pressures, there is clear demand for trusted innovative tools from government workers themselves – a recent survey across 14 countries estimated that 49% of government workers have used unapproved generative AI tools at work. Governments have enormous opportunities to safely leverage AI agents – in particular their speed, responsiveness, personalization – to enhance citizen-facing services. For example, if a citizen wants to check on the status of their application for a license or a public benefit, an agent-powered interface could at any hour assist them in ascertaining the status of their application, locate public information on policies and application procedures, or schedule an appointment to access a related service. These interactions would have previously taken the citizen far longer, required valuable government employee time, may have only been available during business hours, or been left undone altogether. By deploying agents in these contexts governments can make the most of their limited resources while building citizen satisfaction with and trust in services. In addition to leading by example in digital transformation, governments can play a pivotal role in boosting diffusion of trusted AI solutions, including AI agents, in the private sector. As governments search for new ways to promote economic growth and combat inflation, this is a key moment for national economies. The rapid development and commercialization of AI tools have created opportunities for businesses large and small around the world to rapidly become more productive and gain a competitive edge by adopting frontier technologies. But to achieve the benefits, businesses need to overcome resource constraints, rapidly acquire new commercial knowledge and practical skills, and have regulatory clarity. For governments to position their businesses for success, they need to set ambitious goals and identify and remedy the blockers that hold back the uptake of new technologies by enterprises. For the past 25 years, Salesforce has led their customers through every major technological shift: from cloud, to mobile, to predictive and generative AI, and, today, agentic AI. We are at the cusp of a pivotal moment for enterprise AI that has the opportunity to supercharge productivity and change the way we work forever. This will require governments working together with industry, civil society, and all stakeholders to ensure responsible technological advancement and workforce readiness. We look forward to continuing our contributions to the public policy discussions on trusted enterprise AI agents. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. 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is it real or is it gen-r-x

Is it Real or is it Gen-r-X?

The Rise of AI-Generated Content: A Double-Edged Sword It began with a viral deepfake video of a celebrity singing an unexpected tune. Soon, political figures appeared to say things they never uttered. Before long, hyper-realistic AI-generated content flooded the internet, blurring the line between reality and fabrication. While AI-driven creativity unlocks endless possibilities, it also raises an urgent question: How can society discern truth in an era where anything can be convincingly fabricated? Enter SynthID, Google DeepMind’s pioneering solution designed to embed imperceptible watermarks into AI-generated images, offering a reliable method to verify authenticity. What Is SynthID, and Why Does It Matter? At its core, SynthID is an AI-powered watermarking tool that embeds and detects digital signatures in AI-generated images. Unlike traditional watermarks, which can be removed or altered, SynthID’s markers are nearly invisible to the human eye but detectable by specialized AI models. This innovation represents a significant step in combating AI-generated misinformation while preserving the integrity of creative AI applications. How SynthID Works SynthID’s technology operates in two critical phases: This method ensures that even if an image is slightly edited, resized, or filtered, the SynthID watermark remains intact—making it far more resilient than conventional watermarking techniques. SynthID for AI-Generated Text Large language models (LLMs) generate text one token at a time, where each token may represent a single character, word, or part of a phrase. The model predicts the next most likely token based on preceding words and probability scores assigned to potential options. For example, given the phrase “My favorite tropical fruits are __,” an LLM might predict tokens like “mango,” “lychee,” “papaya,” or “durian.” Each token receives a probability score. When multiple viable options exist, SynthID can adjust these probability scores—without compromising output quality—to embed a detectable signature. (Source: DeepMind) SynthID for AI-Generated Music SynthID converts an audio waveform—a one-dimensional representation of sound—into a spectrogram, a two-dimensional visualization of frequency changes over time. The digital watermark is embedded into this spectrogram before being converted back into an audio waveform. This process leverages audio properties to ensure the watermark remains inaudible to humans, preserving the listening experience. The watermark is robust against common modifications such as noise additions, MP3 compression, or tempo changes. SynthID can also scan audio tracks to detect watermarks at different points, helping determine if segments were generated by Lyria, Google’s advanced AI music model. (Source: DeepMind) The Urgent Need for Digital Watermarking in AI AI-generated content is already disrupting multiple industries: In this chaotic landscape, SynthID serves as a digital signature of truth, offering journalists, artists, regulators, and tech companies a crucial tool for transparency. Real-World Impact: How SynthID Is Being Used Today SynthID is already integrated into Google’s Imagen, a text-to-image AI model, and is being tested across industries: By embedding SynthID into digital content pipelines, these industries are fostering an ecosystem where AI-generated media is traceable, reducing misinformation risks. Challenges & Limitations: Is SynthID Foolproof? While groundbreaking, SynthID is not without challenges: Despite these limitations, SynthID lays the foundation for a future where AI-generated content can be reliably traced. The Future of AI Content Verification Google DeepMind’s SynthID is just the beginning. The battle against AI-generated misinformation may involve: As AI reshapes the digital world, tools like SynthID ensure innovation does not come at the cost of authenticity. The Thin Line Between Trust & Deception AI is a powerful tool, but without safeguards, it can become a weapon of misinformation. SynthID represents a bold step toward transparency, helping society navigate the blurred boundaries between real and artificial content. As the technology evolves, businesses, policymakers, and users must embrace solutions like SynthID to ensure AI enhances reality rather than distorting it. The next time an AI-generated image appears, one might ask: Is it real, or does it carry the invisible signature of SynthID? 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