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B2B IAM in Agricultural Machinery: Building a Seamless and Secure Future for Manufacturers

Thales Cloud Protection & Licensing

B2B IAM in Agricultural Machinery: Building a Seamless and Secure Future for Manufacturers madhav Tue, 09/10/2024 - 07:01 As global food demand continues to rise, agricultural machinery manufacturers face growing pressure to modernise and adopt sustainable practices.

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European Commission Releases Factsheet on Artificial Intelligence

Hunton Privacy

The factsheet also includes some examples of projects conducted by the Commission in AI (including in agriculture, data and eHealth, public administration and services, and transport and manufacturing). In addition, the Factsheet also describes the EU’s role in AI and the financial investments the Commission is planning to make in AI.

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Protect 5G to Secure Sustainable Growth

Thales Cloud Protection & Licensing

These concepts are no longer limited to our mobile devices but are becoming increasingly important to operations in the manufacturing, transportation, and energy sectors. Manufacturing productivity. For manufacturers, competitiveness is of the utmost importance. Intelligent agriculture.

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EU Parliament and Council of the EU Reach Agreement on Data Governance Act

Hunton Privacy

The European Commission also indicated it will further develop and fund European data spaces to “pool data in key strategic sectors and areas of public interest, such as health, agriculture and manufacturing.”. Read the European Commission Press Release. Read the Council of Europe Press Release.

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Feel Good Ukraine Tractor Story Highlights Ag Cyber Risk

The Security Ledger

Related Stories DEF CON: Security Holes in Deere, Case IH Shine Spotlight on Agriculture Cyber Risk Episode 235: Justine Bone of MedSec on Healthcare Insecurity Episode 234: Rep. Growing Threats to agriculture. DEF CON: Security Holes in Deere, Case IH Shine Spotlight on Agriculture Cyber Risk.

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The Internet of Things (IoT): Managing the Data Tsunami

Collibra

Yet along that path there will be numerous obstacles to overcome – chiefly related to data privacy and governance. 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. Data governance holds the key.

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How AI is helping companies meet sustainability goals

IBM Big Data Hub

Anomaly detection: Some manufacturers have zero-defect goals. Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. AI can tackle problems like asset maintenance efficiently.