SLM vs LLM: When 2B parameters beat 1T
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The assumption that bigger models are always better isintuitive but wrong.
Professional services
Cloud computing. AI-driven automation. Advanced data analytics. By embracing these innovations, professional services firms—encompassing legal, procurement, HR, and general back-office operations—can streamline workflows, reduce overhead, ensure compliance, and adapt to a rapidly changing market.
Document generation
Workflow automation
AI-powered contract and
records management
AI-driven procurement
Security and data governance
Automation and lean structures redefine professional services
The professional services sector is undergoing a seismic shift. Rapid advancements in automation and analytics are transforming traditional, manual processes into streamlined, technology-led operations. Firms that harness these tools can reduce costs, enhance client satisfaction, and remain agile in the face of emerging challenges. However, success hinges on adopting the right strategies, modernizing infrastructures, and building a culture that embraces data-driven decision-making.
Current state of professional services industry
70%
of leaders plan to invest in AI-based solutions to improve operational efficiency.
35%
of firms report a lack of real-time data analytics as a top barrier to scaling their business effectively
45%
of tasks in professional services could be automated with current technology
25%
increase in productivity observed by early adopters of AI-driven workflow automation
What's hot in banking and finance
What is SLM and why size matters
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A clear explanation of SLMs: purpose-built AI models that deliver faster, more accurate results while keeping your data on-premise.
The AI Automation Field Guide: From Pilot to Production in 90 Days
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A pragmatic 90-day roadmap to take AI automation from pilot to secure production.
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