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🔍 Ask Me Anything: Bridging the Data Gap for Analytics Programs
When it comes to reporting and analytics programs, data access is critical to making the right data-driven business decisions. But what do you do when that data lives in another system where it’s not easily accessible?
In this encore of our Ask Me Anything webinar, the Progress DataDirect team will share how to:

• Bridge the gap for hard-to-reach data

• Make data accessible wherever that data resides

• Amplify the power of APIs and REST applications for better reporting

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INSIGHTS INTO THE DATA WORLD

Is your business ready to unlock the true potential of AI? Discover how next-gen AI models are revolutionizing analytics and empowering organizations to tackle industry challenges with enhanced visual understanding and long-context processing. This transformation offers strategic advantages in data management by addressing common pitfalls and streamlining complex information. Get ahead with insights into evolving AI trends that drive sustained competitive edge and impactful decision-making.

Harnessing AI for Strategic Analytics Value

Artificial Intelligence (AI) is transforming analytics by unlocking deeper insights and driving strategic decisions. To leverage AI effectively, it’s crucial to align technology with specific business outcomes.

💡 Key Insights:

• AI enhances data analytics with real-time processing and predictive capabilities.

• Aligning AI strategies with business goals is essential for maximizing value.

• Advanced algorithms are shifting the landscape by providing diverse analytical perspectives.

🧩 Practical Advice:

• Invest in scalable AI solutions that integrate seamlessly into existing infrastructure.

• Prioritize training and development to boost AI literacy across teams.

• Utilize AI to automate routine analytics processes and focus on strategic tasks.

🎯 Action Item:

• Develop a clear AI roadmap focusing on strategic business alignment and enhancement of analytics capabilities. → Full Story

Enhancing AI Models with Tensorisation and Compression

Advancements in large language models, such as TensorLLM, are reshaping the field of AI by improving reasoning and efficiency through methodologies like multi-head attention compression and tensorisation.

💡 Key Insights:

• Multi-head attention compression enhances the scalability of language models.

• Tensorisation streamlines processes, reducing computational overhead.

• These technologies enable more efficient and effective data processing in AI applications.

🧩 Practical Advice:

• Implement multi-head attention and tensorisation techniques for optimizing data management.

• Explore scalable AI solutions that align with existing systems for enhanced performance.

• Train teams to leverage these technologies to boost productivity and innovation.

🎯 Action Item:

• Establish a pilot project integrating advanced compression and tensorisation techniques to evaluate their impact on data management processes. → Full Story

Revolutionizing Data Processing with Alibaba’s Latest AI Models

Alibaba Cloud’s latest AI models enhance visual understanding and long-context processing, significantly impacting data management by improving recognition and interpretation capabilities in diverse applications.

💡 Key Insights:

• The AI models offer advanced visual processing for more accurate interpretations.

• Long-context input capabilities enable handling complex datasets and narratives.

• These improvements facilitate better decision-making and analytical depth in business environments.

🧩 Practical Advice:

• Leverage these AI models for tasks requiring detailed visual analysis and complex data synthesis.

• Integrate with existing systems to enhance data processing and interpretation capabilities.

• Ensure teams are trained to utilize these models effectively for operational gains.

🎯 Action Item:

• Initiate deployment of Alibaba’s AI models in a key project to assess enhancements in data handling and analytics efficiency. → Full Story

MARKETING MATTERS

Unlock transformative marketing strategies with AI-driven insights poised to revolutionize customer engagement and decision-making. By dramatically lowering AI costs and reimagining marketing funnels, businesses can leverage predictive models and enhanced customer interactions to meet evolving market demands. Stay ahead with strategic, customer-centric approaches that redefine value and address key industry challenges. Embrace the future of marketing today!

Revolutionizing B2B with AI Market Predictions

Daniel Saks has introduced a pioneering AI model designed to improve B2B market predictions, reshaping how businesses approach strategic planning and customer engagement.

💡 Key Insights:

• The AI model enhances accuracy in forecasting market trends and customer needs.

• Enables data-driven decision-making and improves competitive positioning.

• Facilitates deeper insights into B2B customer behaviors and preferences.

🧩 Practical Advice:

• Utilize AI-driven analytics to tailor marketing strategies to customer expectations.

• Integrate predictive insights into your marketing workflows to enhance agility.

• Focus on building a data ecosystem that supports continuous learning and adaptation.

🎯 Action Item:

• Implement the AI model in pilot projects to gauge its impact on market predictability and customer outcomes. → Full Story

Transforming Marketing: The Impact of Affordable AI

The potential drop in AI costs by tenfold through innovations like DeepSeek could dramatically alter the marketing landscape, making advanced technology more accessible and transformative.

💡 Key Insights:

• A significant cost reduction in AI opens doors for wider adoption and innovation in marketing strategies.

• Provides small businesses with tools previously limited to larger enterprises, enhancing competitiveness.

• Increased AI use can lead to highly personalized marketing and improved customer experiences.

🧩 Practical Advice:

• Reevaluate current marketing budgets to allocate for AI-driven tools and solutions.

• Encourage teams to explore creative applications of cost-effective AI in campaigns.

• Focus on scaling personalized customer interactions and data analysis capabilities.

🎯 Action Item:

• Begin identifying marketing processes that could benefit from AI enhancements to boost efficiency and engagement. → Full Story

Reimagining Marketing Funnels with Agentic AI

Agentic AI is poised to revolutionize marketing by replacing traditional funnels with dynamic, responsive customer interaction models, significantly enhancing user experience and engagement.

💡 Key Insights:

• Agentic AI enables personalized customer journeys outside linear funnel constraints.

• Enhances real-time adaptation to customer behavior, increasing conversion potential.

• Provides deeper consumer insights, driving innovative strategy development.

🧩 Practical Advice:

• Shift focus from linear funnels to AI-powered dynamic engagement strategies.

• Invest in technologies that enable real-time data collection and personalized customer experiences.

• Train marketing teams to leverage AI tools for predictive analysis and strategic insights.

🎯 Action Item:

• Initiate a review of existing marketing processes to incorporate agentic AI frameworks for enhanced flexibility and customer focus. → Full Story

LEADING THE WAY

Unlocking the true potential of AI in leadership means more than just adopting technology—it’s about strategic vision and ethical governance that transforms businesses. Key industry leaders are charting paths to innovation, blending accountability with advanced AI strategies to drive sustainable success. Join the movement reimagining leadership, where empowering new generations and embracing agile strategies redefine organizational impact in today’s dynamic business landscape.

Building Better Businesses Through AI Accountability

AI accountability is transforming businesses by emphasizing ethical governance and strategic leadership, leading to sustainable success and innovation.

💡 Key Insights:

• Ethical AI practices build trust and enhance brand reputation.

• Transparency in AI usage strengthens stakeholder relationships.

• Accountable AI strategies align technology with core business values, ensuring longevity and adaptability.

🧩 Practical Advice:

• Develop clear ethical guidelines for AI innovation to guide implementation.

• Prioritize transparency in all AI-driven decision-making processes.

• Foster a culture of responsibility and integrity within AI teams.

🎯 Action Item:

• Establish a robust AI ethics committee to oversee implementation and ensure alignment with organizational values. → Full Story

Empowering Nexus Leaders in the AI Era

The Tao of Leadership explores empowering the Nexus Generation to lead with innovation and strategic vision in the AI Era, fostering a new breed of leaders who bridge technology and human values.

💡 Key Insights:

• Nexus leaders integrate adaptability and empathy to navigate AI advancements.

• They drive innovation by aligning AI tools with human-centric goals.

• Encouraging continuous learning is vital for staying ahead in a rapidly evolving landscape.

🧩 Practical Advice:

• Cultivate leadership skills that prioritize collaboration and adaptability in AI environments.

• Create mentorship programs that focus on blending technological proficiency with emotional intelligence.

• Leverage AI to enhance decision-making processes while maintaining a human touch.

🎯 Action Item:

• Initiate leadership workshops focused on developing AI-savvy skills tailored to fostering empathy and innovation. → Full Story

IBM’s Winning AI Strategy Aligns with Market Expectations

IBM has unveiled a new AI strategy that has garnered strong market approval, highlighting its focus on innovation and impactful deployment in critical business areas.

💡 Key Insights:

• The strategy emphasizes scalable AI solutions tailored to industry-specific applications.

• It aligns AI with broader business goals to drive growth and innovation.

• Demonstrates a commitment to advancing AI responsibly and effectively.

🧩 Practical Advice:

• Focus on developing AI initiatives that align with core organizational objectives.

• Engage cross-functional teams to ensure AI deployment meets diverse business needs.

• Prioritize transparency and ethics in AI strategy development to enhance stakeholder confidence.

🎯 Action Item:

• Launch a task force to integrate IBM’s AI strategic elements into existing projects to elevate technical and commercial outcomes. → Full Story

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