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The Internet-of-Things has the potential to transform a range of industries – from automotive and agriculture through to healthcare, home appliances and insurance services. Continued evolution of chipsets, cloud architectures and AI/ML algorithms will provide evermore scalable storage and computer required to analyse that data.
Using generative AI with code generation capabilities can also enable hybrid cloud developers of all experience levels to migrate and modernize legacy application code at scale, to new target platforms with code consistency, fewer errors, and speed. AI can assist surgeons by monitoring vitals and detecting potential issues during procedures.
The use of IoT technologies holds enormous potential in practically every segment of human enterprise – government, banking and finance, healthcare, retail, agriculture, and ecommerce to name a few. But making the IoT work requires trust in the devices and the data they collect.
CGI has built our capability to provide applications and services delivering insight from EO data as well as designing and building cloud-based exploitation platforms to enable EO applications to run alongside the huge volumes of EO data now being generated. We understand EO. What are we Looking For?
Source (New) Finance USA Yes 3,494 Woodruff Sawyer Source (New) Insurance USA Yes 3,087 Blackburn College Source (New) Education USA Yes 3,039 CAIRE Inc. Source (New) Transport USA Yes 3,815 Okta Source 1 ; source 2 (Update) Cyber security USA Yes 3,800 Shah Dixit & Associates, P.C.
NCSC publishes new guidance on how to ‘lift and shift’ The NCSC (National Cyber Security Centre) has added a new section about how to ‘lift and shift’ to its guidance on using Cloud services securely. Lift and shift’ is the practice of replicating an existing local system in the Cloud.
Other databases contained health insurance data, such as patents’ names, dates of birth, addresses and medical data. EyeCare Services Partners exposes more 3.5 The biggest database in the blob contained 3.1 million patients and 1.6 million unique Social Security numbers. Source (New) Manufacturing USA Yes 1.1
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