Keeping Pace with the Future of Work and Technology
The pace of change is accelerating.
This week, we're unpacking the trends that will keep you ahead of the curve.
The Soft Skills to Look For in Manufacturing Security Leaders
In manufacturing, technical skills alone can't counter cyber threats.
Security leaders must prioritize communication, collaboration, and adaptability to bridge gaps between OT and IT teams and prevent operational silos.
Strategies like cross-functional training and integrated systems can foster alignment and resilience. Real-world cases, like Norsk Hydro’s response to ransomware, show how strong interpersonal skills reduce downtime and mitigate risks. Learn More
Our Take
Effective manufacturing security demands a balance of technical expertise and interpersonal skills.
Clear communication and collaboration between OT and IT teams are crucial to closing gaps and responding to threats.
By prioritizing these soft skills, leaders can build agile, resilient teams ready to tackle today’s challenges.
Data classification: What, why and who provides it
Data classification helps businesses organize, secure, and efficiently use their data by identifying its type, sensitivity, and context.
With the rise of unstructured data and regulatory demands, manual methods are no longer scalable.
AI-powered tools automate classification, improve accuracy, and provide dynamic updates.
Key benefits include enhanced data governance, lifecycle management, and regulatory compliance.
Providers like Microsoft Purview, IBM Knowledge Catalog, and AWS Glue offer AI-driven solutions, while advanced analytics platforms integrate classification into broader data intelligence systems. Learn More
Our Take
Effective data management begins with smart classification.
With AI and machine learning, organizations can navigate unstructured data, enrich metadata, and maintain compliance dynamically.
We believe automating this process ensures data is not only secure but also ready for insights and innovation.
By leveraging AI tools, businesses can unlock the full potential of their data assets while staying ahead of evolving regulatory needs.
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Personal Shopping Agents are the Future of E-Commerce
AI-driven personal shopping agents are poised to revolutionize e-commerce by addressing customer frustrations like overwhelming product searches and inconvenient online experiences.
Unlike traditional chatbots, these agents utilize large language models (LLMs) to understand preferences, analyze data, and negotiate the best deals, creating tailored shopping experiences.
Retailers must adapt by optimizing their data for machine-based agents, enhancing privacy protocols, and transitioning to advanced search tools.
As adoption begins in 2025, companies ready for this shift will lead in customer satisfaction, loyalty, and revenue growth. Learn More
Our Take
The rise of AI-powered personal shopping agents represents a significant leap in digital transformation.
By integrating machine-to-machine protocols and prioritizing clean, structured data, retailers can ensure seamless interactions with these agents.
We see this evolution as a chance for businesses to differentiate themselves, offering customers unparalleled convenience and personalization.
Preparing for this change now will position retailers as frontrunners in the next wave of e-commerce innovation.
The future of e-commerce and data management is here—are you ready to embrace it?
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