Digital transformation 4 October 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 greening your stack, AI policy, a digital makeover, hybrid AI, mitigation strategies for edge devices, hyper-automation, real-time capabilities, and digital disruption.
If you want to talk about my perspective on transformation, you can book a free appointment here .
How a new open standard could help green your tech?stack
The recently certified Software Carbon Intensity specification allows the carbon emissions of software to be estimated using openly available data. The founder of the Green Software Foundation hopes this could lead to energy ratings and sustainability KPIs for?software.
Beyond the hype: Key components of an effective AI policy
A robust AI policy is essential for businesses to navigate the ethical, legal and operational challenges of AI implementation.
A Digital Makeover for Manufacturing in the Age of AI
What do manufacturing and distribution firms require from their ERP systems to join this digital revolution?
Why Hybrid AI Is The Next Big Thing In Tech
The art of blending various AI techniques and models to achieve outcomes that surpass what any single AI approach could accomplish alone.
Mitigation strategies for edge devices: executive guidance
The primary functions of edge devices can include managing data traffic, enforcing security policies and ensuring seamless communication across network boundaries. Failing to secure these network perimeters is equivalent to leaving doors open, inviting malicious actors to access sensitive data, disrupt operations and initiate further exploits.
How AI is powering the next wave of digital transformation
While automation involves predefined rules to execute repetitive tasks, hyper-automation, powered by AI, combines machine learning, NLP, and robotic process automation (RPA) to create systems that can adapt to new situations, learn from previous activities, and even make decisions autonomously.
The Top Value Application for AI? Real-time Capabilities
Natural language processing (NLP) is the top data science and machine learning application for the second year running, the survey finds. Three-fourths of enterprises, 75%, now have NLP in production, followed by 55% running geospatial technologies, and 44% using graph databases. Another 42% are applying time series data against their AI systems, while 34% are employing computer vision.
Taking a Globally Orchestrated Approach to Digital Disruption
New technologies such as generative AI, quantum computing, and climate technology require unique but complementary managerial muscles.
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1 个月Great stuff ??appreciate the post. Happy Friday ??