Digital transformation 26 September 2024
Ron Immink
I empower people by crafting compelling visions for the future, driving the creation of innovative business models, boosting productivity, and enhancing profitability. Advisor, mentor, author and speaker.
Today’s topics are manufacturing, cyber security, next-generation data management, the dark web, CX, edge AI, no-code LLM AI and legacy machine learning.
If you want to talk about my perspective on transformation, you can book a free appointment here .
5 Ways to Advance Digital Transformation in Manufacturing
Fortunately, digital transformation doesn’t have to happen all at once. Manufacturing leaders can focus on using current technology in a specific business area, division, location, or function before implementing new technology ?across the entire business.
Copilots and low-code apps are creating a new 'vast attack surface' - 4 ways to fix that
A typical enterprise has 80,000 apps built outside of the traditional development lifecycle, and 62% have vulnerabilities, a new study finds. It doesn't have to be this way.
Next-generation data management for AI: The next-generation data management engine will drive AI to new heights
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence
Cyber skills for sale: what leaders can learn from the dark?web
领英推荐
The professionalisation of cybercrime means legitimate organisations are now in competition with criminal groups for cyber?talent
The future of the digital customer experience in industrial manufacturing and construction
The pace of digitalization is transforming traditional business models and operating processes for industrial product manufacturing, aerospace and defense, and engineering and construction companies.
Survey Reveals Edge AI Adoption in Manufacturing Is Solving Complex Challenges
A recent survey by Edge Impulse and Manufacturing Dive’s studioID found that the majority of manufacturers are well on their way to adopting AI on embedded devices.
No-Code LLM AI
No-code tools make it possible for users to engage with complex AI systems without coding. This approach opens up opportunities for people from various backgrounds to utilize AI for different purposes.?
How companies use generative AI to execute with speed
Legacy machine learning approaches enable precision —?algorithms identify consumer preferences to the individual level, identify an individual’s likelihood of voting, or prescribe treatment to individual patients. Generative AI unlocks speed.