News from the AI & ML world
DeeperML - #businesses
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Ken Yeung@Ken Yeung
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Microsoft is enhancing its Copilot Studio platform with new 'deep reasoning' capabilities, allowing AI agents to solve complex problems more effectively. This upgrade also includes 'agent flows' which blend AI's flexibility with structured business automation. The new Researcher and Analyst agents for Microsoft 365 Copilot represent a significant step forward in AI agent evolution, enabling them to handle sophisticated tasks requiring detailed analysis and methodical thinking.
Microsoft's Security Copilot service is also getting a boost with a set of AI agents designed to automate repetitive tasks, freeing up security professionals to focus on more critical threats. These AI agents are designed to assist with critical tasks such as phishing, data security, and identity management. These agents showcase the breadth of what can be created when combining enterprise business data, access to advanced reasoning models, and structured workflows. Recommended read:
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Charles Lamanna@Microsoft 365 Blog
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Microsoft is enhancing Copilot Studio with new capabilities to build autonomous agents, set to be in public preview at Microsoft Ignite 2024. These agents are designed to understand the nature of users' work and act on their behalf, offering support across business roles, teams, and functions. The goal is to transform business operations by automating complex tasks and streamlining workflows.
These autonomous agents can be configured, secured, and tested, automating tasks across apps and data sources for entire teams. Organizations are already utilizing Copilot Studio to create agents for specific business workflows, such as Pets at Home, which developed an agent for its profit protection team that could potentially drive a seven-figure annual savings. Copilot Studio plays a crucial role in customizing Copilot and creating agents for an entire company, enhancing efficiency, customer experience, and driving growth. Recommended read:
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will@LearnAI
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AWS is enhancing its AI capabilities with the introduction of cost-effective AI inference solutions using Amazon Bedrock serverless features alongside Amazon SageMaker trained models. This advancement allows users to import their own custom fine-tuned models from SageMaker into Amazon Bedrock, providing access through a fully managed API. This new approach eliminates the need for self-managed infrastructure or costly provisioned throughput, making AI more accessible. Amazon Bedrock supports a variety of model architectures, including Mistral, Flan, Meta Llama 2 and Llama 3, which can be interacted with via the Bedrock playgrounds once imported.
AWS also launched a new cloud region in Thailand, aimed at bolstering Southeast Asia’s digital economy and presenting opportunities for Indian businesses to serve a wider audience. This expansion provides a strategic gateway to neighbouring markets in the APAC region. The move highlights AWS's commitment to expanding its global infrastructure and enhancing the availability of cloud-based services. The Thailand cloud region adds to AWS’s growing list of services focused on supporting AI development and deployment. Recommended read:
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Michael Nuñez@AI News | VentureBeat
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AiThority
, AI News | VentureBeat
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AI security startup Hakimo has secured $10.5 million in Series A funding to expand its autonomous security monitoring platform. The funding round was led by Vertex Ventures and Zigg Capital, with participation from RXR Arden Digital Ventures, Defy.vc, and Gokul Rajaram. This brings the company’s total funding to $20.5 million. Hakimo's platform addresses the challenges of rising crime rates, understaffed security teams, and overwhelming false alarms in traditional security systems.
The company’s flagship product, AI Operator, monitors existing security systems, detects threats in real-time, and executes response protocols with minimal human intervention. Hakimo's AI Operator utilizes computer vision and generative AI to detect any anomaly or threat that can be described in words. Companies using Hakimo can save approximately $125,000 per year compared to using traditional security guards. Recommended read:
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stclarke@Source
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Source Asia
, Microsoft Research
Microsoft is aggressively integrating AI across various platforms to enhance productivity and transform business processes. A key focus is on understanding human-AI interactions through a project called Semantic Telemetry at Microsoft Research. This project employs a novel data science approach using Large Language Models (LLMs) to analyze user behavior and classify these interactions, aiming to build and support increasingly high-value use cases for Copilot and other AI tools. This innovative approach reimagines traditional telemetry by using LLMs to generate meaningful categorical labels from chat log data, providing valuable insights into how users interact with AI systems.
The integration of Microsoft 365 Copilot is also enabling companies like Estée Lauder to reimagine trend forecasting and consumer marketing. By building a generative AI ecosystem with Copilot Studio, Azure OpenAI Service, and Azure AI Search, Estée Lauder is leveraging AI to gather data, identify trends, build marketing assets, and inform research, ultimately accelerating the process of bringing beauty products to market. This transformation is part of Estée Lauder's "Beauty Reimagined" initiative, aiming for leaner, faster, and more agile operations. Recommended read:
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george.fitzmaurice@futurenet.com (George@Latest from ITPro
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www.itpro.com
, Salesforce
Cisco has announced new agentic AI tools designed to improve both customer and employee experiences. The unveiling includes the Webex AI Agent, set to be generally available later this month, which aims to address customer service requests around the clock with human-like natural language. Additionally, the firm introduced 'Cisco AI Assistant for Webex Contact Center,' offering suggested responses and real-time conversation transcripts for human agents.
Other offerings include ‘Workflow Automation in Cisco AI Assistant for Webex’ integrating Cisco’s tools with enterprise apps like Salesforce, ServiceNow, and Jira. ‘AI Capabilities in Webex Control Hub’ functions as a platform for IT admins to manage AI ecosystems and view analytics on AI usage and employee adoption. Cisco CPO Jeetu Patel stated that agentic AI is reinventing how people and technology work together across both physical and digital realms. Recommended read:
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george.fitzmaurice@futurenet.com (George@Latest from ITPro
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www.itpro.com
, Databricks
The AI agent landscape is rapidly evolving, with major tech companies pushing 'do-it-yourself' agent platforms to drive AI adoption. Firms like Oracle, OpenAI, AWS, Salesforce, and Workday are releasing platforms that allow users to build custom agents, rather than offering pre-built solutions. This emphasis on customization stems from the understanding that AI agent use cases are often less deterministic and require tailoring to specific business contexts. Gartner analyst Pieter J. den Hamer highlights the need for customization, noting that end-users gain the most from agentic tools when they have full control over their functionality.
Dataiku offers a platform to build AI agents that optimize workflows, enhance productivity, and automate complex processes. They allow users to add tools that extend agent capabilities, allowing integration with external systems. China's Manus AI is emerging as a potential leader, moving beyond chatbots to autonomous agents capable of executing real-world tasks with minimal human oversight. Other offerings include Databricks Apps, which can be combined with React and Mosaic AI Agent Framework, to create enterprise chat solutions. Recommended read:
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Ellie Ramirez-Camara@Data Phoenix
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Nvidia is making significant strides in the realm of AI agents, highlighted at this year's GTC 2025 conference. CEO Jensen Huang emphasized the transformative impact of agentic AI and reasoning models, predicting that these technologies will revolutionize industries and automate processes. To support this shift, Nvidia unveiled the Blackwell Ultra platform, designed to handle the demanding requirements of AI reasoning, agentic AI, and physical AI applications. The platform, which includes the GB300 NVL72 rack-scale solution and the HGX B300 NVL16 system, offers substantial performance improvements over previous generations, with the GB300 NVL72 delivering 1.5x more AI performance.
In addition to hardware advancements, Nvidia launched NVIDIA Dynamo, an open-source inference framework, to optimize reasoning AI services across thousands of GPUs. This framework is designed to maximize token revenue generation for AI factories deploying reasoning AI models by orchestrating and accelerating inference communication across GPU clusters. Major cloud providers and server manufacturers are expected to offer Blackwell Ultra-based products starting in the second half of 2025. These developments position Nvidia as a key player in the emerging landscape of AI agents and reasoning models, promising to drive significant advancements in AI capabilities and applications. Recommended read:
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