Month: May 2025

Easing the Impact of Tariffs with AI and Automation

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Key Takeaways:

  1. 96% of senior leaders are concerned about the impact of trade policy.
  2. Tariff volatility is disrupting how global businesses plan, price, and source.
  3. AI-powered tools give companies an edge in unstable trade environments.
  4. Predictive AI is helping businesses anticipate setbacks in time.

Tariffs Are Changing the Rules of Global Trade

Trump-era tariffs have triggered a wave of uncertainty, with knock-on effects reaching far beyond rising costs of goods. For companies dependent on overseas suppliers, sudden policy shifts strain budgets, add new layers of paperwork, delay timelines, and force difficult choices across the product lifecycle.

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Cloud Engineering for HIPAA: Secure Configuration and Migration Strategies for US Healthcare Providers

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Key Takeaways:

  1. HIPAA compliance is crucial in healthcare to keep patient data safe and confidential
  2. Expert configuration is needed, whether working with Azure or AWS
  3. Cross-functional planning can ensure that every base is covered
  4. Phased execution and continuous testing can help maintain compliance at all times

It’s becoming increasingly clear that digital transformation is the future of healthcare. New technologies and smooth integration can improve patient outcomes, streamline care delivery and relieve budgetary pressures. Indeed, McKinsey has found that AI, machine learning and deep learning could collectively generate savings of up to $360 billion in global healthcare spending.

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Strategies for Integrating XR Experiences into Existing Customer Journeys

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Key Takeaways:

  1. Extended reality technologies are enabling enhanced customer experiences in retail
  2. Customers benefit from greater interactivity, personalization and product information
  3. Retailers are using XR to drive more sales, boost brand loyalty and reduce return rates
  4. Small scale pilots can prove integration value and guide a wider rollout

Online retail is growing all the time: according to Forbes, it will account for 28% of all retail sales in the United States by 2028. And a big part of that is the growth of Extended Reality (XR) technologies that are transforming the customer experience – to such an extent that XR could boost global GDP by as much as $1.5 trillion by 2030. Retail technology trends indicate this growth will only accelerate in coming years.

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Agentic AI and the Future of Personalized Healthcare

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Key Takeaways:

  1. Autonomous AI enhances care quality and patient outcomes.
  2. Personalized healthcare improves survival rates in cancer patients.
  3. Predictive analytics spots outbreaks of diseases early.
  4. Advancements in robotic surgery and human-AI collaboration are imminent.

Agentic AI: A Turning Point for Healthcare

AI is already part of our everyday lives, changing how we perform simple tasks and go about our work. But when it comes to healthcare and medicine, it’s a different ball game. The healthcare industry is complex, costly, and full of moving parts. For a long time, we didn’t have technology powerful enough to ease that burden. Until now.

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How Workflow Automation Stops Healthcare Flatlines

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Key Takeaways:

  1. Skills shortages and burnout are impacting healthcare provision worldwide
  2. Intelligent workflow automation can relieve the burden by handling repetitive, rule-based tasks
  3. Patients, staff and organizations alike benefit from improved efficiency, speed and accuracy
  4. Phased, prioritized rollout enables a self-sustaining investment model

Automation technologies are transforming industries all over the world by introducing new levels of efficiency and accuracy. This technology can take over rule-based tasks, interacting with data and other applications so that these processes can be automated – and at far greater speed and accuracy than humans can achieve.

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Things to Consider When Hiring a Generative AI Development Partner

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Key Takeaways:

  1. Working with an external AI development outsourcing partner cuts costs and eases access to expertise
  2. Choosing the right partner depends on your organization’s existing skill sets and business objectives
  3. Industry experience and proven track record are critical differentiators
  4. The best partners will provide support through deployment and beyond with a clear GenAI implementation plan

Did you know, as many as 85% of generative AI deployments fail? Businesses all over the world recognize the importance of this transformative technology, and yet so many are struggling to make it work for them and justify their investment. The reasons are many, with unclear scope, poor data infrastructure and generic AI models all too commonplace.

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