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👩💻 Data Security Best Practices for Remote Work
DTP #50: Business Intuition in the Age of AI
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This week:
Business intuition remains crucial for AI integration, emphasizing mastering both AI and change-management skills, with human intuition essential for leadership amid uncertainty, innovation, ethics, agility, and purpose.
Remote work data security prioritizes employee training, secure access via VPNs and multi-factor authentication, data backup with secure cloud storage, encrypted file sharing, and robust endpoint security solutions.
AI aids Earth observation, predicting disease outbreaks, tailoring satellite data, and informing government departments, disaster response, and industrial players.
💼 AI in Business
Business Intuition in the Age of AI
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An article from Hulan Hagen, CEO of the Business Intuition Institute, looks at why intuition in business is crucial for AI integration.
McKinsey Global Institute predicts significant AI-driven changes in the workforce, emphasizing the need for mastering both AI and change-management skills.
Sol Rashidi highlights the enduring importance of human intuition alongside AI capabilities in business leadership.
Five reasons underscore the importance of intuition in the age of AI: uncertainty, innovation, ethics, agility, and purpose.
Uncertainty in business requires intuition, emotional intelligence, and interpersonal skills for effective change management.
Intuition fuels innovation by empowering leaders to combine logical inference with creative decision-making.
Emotional intelligence and ethics play crucial roles in leadership, balancing moral concerns and optimal solutions.
Intuition enables agile decision-making by understanding human preferences and adapting to evolving market dynamics.
Aligning with values and purpose using intuition leads to commercial success and ethical leadership, exemplified by companies like Patagonia.
While AI offers data analysis and optimization capabilities, human intuition remains essential for guiding AI and envisioning possibilities beyond its discernment.
Data Security Best Practices for Remote Work
As remote work becomes an increasingly practical option, there have been concerns raised about data security. We’ve compiled a checklist below to help businesses prioritize cybersecurity to protect their valuable data assets and maintain business continuity.
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Employee Training:
Provide comprehensive cybersecurity training to educate remote employees about potential threats.
Promote a culture of cybersecurity awareness to encourage adoption of best practices and prompt reporting of suspicious activities.
Secure Access:
Utilize VPNs to create secure tunnels for data transmission between remote devices and corporate networks.
Enforce multi-factor authentication to enhance security by requiring multiple forms of identification.
Data Backup:
Data storage methods, including cloud storage, are evaluated for security and protection, while ensuring backup procedures for employee device information are secure and access to cloud storage is appropriately controlled.
Secure File Sharing:
Encrypt sensitive data both at rest and in transit to protect it from unauthorized access.
Implement secure file-sharing platforms and cloud storage solutions with built-in encryption and access controls.
Endpoint Security:
Utilize mobile device management solutions to detect and prevent unauthorized access and data breaches.
Deploy robust endpoint security solutions, including antivirus software and endpoint detection and response systems.
🌐 From the Web
A new Break Through Tech A.I. program, supported by top universities, offers career preparation in artificial intelligence for underrepresented female computing majors, focusing on lower-income, Latina, and Black students.
OpenAI's co-founder and chief scientist, Ilya Sutskever, departs, leaving behind a legacy of pioneering work in deep learning and artificial intelligence. Sutskever hints at launching a new project in the near future.
As AI reshapes news consumption, publishers grapple with licensing issues. They seek fair compensation, facing challenges in valuing content and negotiating with tech giants like Google.
🏳️AI for Good
AI in Earth Observation
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A Q&A with European Space Agency (ESA) Φ-lab AI Applications Lead Rochelle Schneider explains why AI is a force for good in Earth observation.
The ESA's upcoming launch of the Φsat-2 mission exemplifies its pioneering work in AI for Earth observation.
AI, seen as a tool, enhances human abilities rather than replacing them, creating new career opportunities.
AI aids Earth observation by automating data processing, improving efficiency, and providing critical insights.
AI is crucial for tasks like automatic detection in vast amounts of Earth observation data and prediction of events like disease outbreaks.
The commercial space sector benefits from AI-powered tailoring of satellite data, enabling real-time information for various industries.
The Φsat-2 satellite features onboard AI processing and offers opportunities for commercial companies to run applications in space.
Future developments in AI for Earth observation include projects like Destination Earth, aiming for a digital twin of the planet for monitoring and predicting events.
AI will increasingly integrate with other technologies, enhancing ESA's efforts towards a sustainable society by providing insightful information for decision-making and planetary stewardship.
🤖 Prompt of the week
Create a scatterplot to show the relationship between these variables. [Insert variables]
See you next week,
Mukundan
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