#managingtechnology search results
AI and Statistics: Perfect Together Many companies develop AI models without a solid foundation on which to base predictions leading to mistrust and failures. By @thedatadoc1 & Roger W. Hoerl; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/943af0
Scaling Automation: Two Proven Paths to Success Lessons from two leading hospital systems show how to overcome the obstacles to automation. By Ben Armstrong & Benjamin Berkowitz; via @harvardbiz #ManagingTechnology #ProjectManagement cstu.io/bb197a
To get the most from corporate knowledge-sharing tools, encourage users to engage with more content, not just build their personal brand. By Burcu B, Wietske Van Osch & Gerald C; via @mitsmr #ManagingTechnology #Collaboration cstu.io/8d79d7
One CISO Can’t Fill Your Board’s Cybersecurity Gaps Adding a chief information security officer to a board is a popular move, but it’s not enough to improve cyber resilience. By Manuel Hepfer; via @mitsmr #ManagingTechnology #CorporateGovernance cstu.io/361713
These developing issues should be on every leader’s radar screen, data executives say.y By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #TechnologyImplementation cstu.io/47b041
In AI We Trust — Too Much? With AI still making wild mistakes, people need cues on when to second-guess the tools. By @robotsmarts; via @mitsmr #ManagingTechnology #Management cstu.io/68f7cb
Generative AI at Mastercard: Governance Takes Center Stage Stonier and Mastercard are still feeling their way with regard to generative AI. By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/c3ea4c
JoAnn Stonier, until recently Mastercard’s chief data officer, made an apt comparison between the movie and generative AI when she appeared on a recent panel. By Thomas H & @RandyBeanNVP; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/8de24c
Most corporate boards lack directors with adequate skills to oversee cyber risk. New SEC regulations make correcting that deficiency more urgent. By Chon A, @sco_connell, Iria G & Ronald R; via @mitsmr #ManagingTechnology #LeadershipSkills cstu.io/0120b0
sloanreview.mit.edu
Adding Cybersecurity Expertise to Your Board | MIT Sloan Management Review
Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.
Why Manufacturers Need a Phased Approach to Digital Transformation Those that succeed with this difficult work break it into three stages, each with its own guiding metrics. By Nitin J, @g2parker & Jagjit S; via @mitsmr #Innovation #ManagingTechnology cstu.io/185ca3
IKEA didn’t give up on drones for inventory management after pilots fizzled — it came up with a better approach for testing new technologies. @tnetland, @OMaghazei, #managingtechnology #technologyimplementation #emergingtechnology #pilot mitsmr.com/3ULxsve
The nonprofit health system’s technology and services are helping people throughout the organization build AI applications efficiently and safely. By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #MachineLearning cstu.io/e9506c
Auditing Algorithmic Risk A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools. By @mathbabedotorg, Jake Appel & Sam Tyner-Monroe; via @mitsmr #TechnologyImplementation #ManagingTechnology cstu.io/099a56
How Tech Fails Late-Career Workers Managers must make deliberate choices to support older workers’ use of complex technologies. By Stefan Tams; via @mitsmr #ManagingTechnology #TechnologyImplementation #PerformanceManagement cstu.io/b08d1c
The CEO’s Cyber Resilience Playbook Use this guide to learn from their experiences and take smarter actions before, during, and after an attack. By Manuel Hepfer, Rashmy C & Michael S; via @mitsmr #ManagingTechnology #Operations #CrisisManagement cstu.io/509b9c
sloanreview.mit.edu
The CEO’s Cyber Resilience Playbook | MIT Sloan Management Review
CEOs who led their companies through serious cyberattacks share lessons learned and ways to boost your cyber resilience.
A panel of experts weighs in on whether organizations are effectively adjusting their risk management practices to govern artificial intelligence. By @hackylawyER, @DavidKiron1 & @SteveMills; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/c54492
AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions. By @poddersanjay, Senthil Ramani & Shalabh K; via @mitsmr #ManagingTechnology #SocialResponsibility #ClimateChange cstu.io/91e71a
AI and Statistics: Perfect Together Many companies develop AI models without a solid foundation on which to base predictions leading to mistrust and failures. By @thedatadoc1 & Roger W. Hoerl; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/943af0
A panel of experts weighs in on whether organizations are effectively adjusting their risk management practices to govern artificial intelligence. By @hackylawyER, @DavidKiron1 & @SteveMills; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/c54492
One CISO Can’t Fill Your Board’s Cybersecurity Gaps Adding a chief information security officer to a board is a popular move, but it’s not enough to improve cyber resilience. By Manuel Hepfer; via @mitsmr #ManagingTechnology #CorporateGovernance cstu.io/361713
Auditing Algorithmic Risk A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools. By @mathbabedotorg, Jake Appel & Sam Tyner-Monroe; via @mitsmr #TechnologyImplementation #ManagingTechnology cstu.io/099a56
The nonprofit health system’s technology and services are helping people throughout the organization build AI applications efficiently and safely. By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #MachineLearning cstu.io/e9506c
The CEO’s Cyber Resilience Playbook Use this guide to learn from their experiences and take smarter actions before, during, and after an attack. By Manuel Hepfer, Rashmy C & Michael S; via @mitsmr #ManagingTechnology #Operations #CrisisManagement cstu.io/509b9c
sloanreview.mit.edu
The CEO’s Cyber Resilience Playbook | MIT Sloan Management Review
CEOs who led their companies through serious cyberattacks share lessons learned and ways to boost your cyber resilience.
A panel of experts weighs in on whether organizations are effectively adjusting their risk management practices to govern artificial intelligence. By @hackylawyER, @DavidKiron1 & @SteveMills; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/c54492
In AI We Trust — Too Much? With AI still making wild mistakes, people need cues on when to second-guess the tools. By @robotsmarts; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/60617c
AI and Statistics: Perfect Together Many companies develop AI models without a solid foundation on which to base predictions leading to mistrust and failures. By @thedatadoc1 & Roger W. Hoerl; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/943af0
In AI We Trust — Too Much? With AI still making wild mistakes, people need cues on when to second-guess the tools. By @robotsmarts; via @mitsmr #ManagingTechnology #Management cstu.io/68f7cb
Scaling Automation: Two Proven Paths to Success Lessons from two leading hospital systems show how to overcome the obstacles to automation. By Ben Armstrong & Benjamin Berkowitz; via @harvardbiz #ManagingTechnology #ProjectManagement cstu.io/bb197a
To get the most from corporate knowledge-sharing tools, encourage users to engage with more content, not just build their personal brand. By Burcu B, Wietske Van Osch & Gerald C; via @mitsmr #ManagingTechnology #Collaboration cstu.io/8d79d7
How Tech Fails Late-Career Workers Managers must make deliberate choices to support older workers’ use of complex technologies. By Stefan Tams; via @mitsmr #ManagingTechnology #TechnologyImplementation #PerformanceManagement cstu.io/b08d1c
Why Manufacturers Need a Phased Approach to Digital Transformation Those that succeed with this difficult work break it into three stages, each with its own guiding metrics. By Nitin J, @g2parker & Jagjit S; via @mitsmr #Innovation #ManagingTechnology cstu.io/185ca3
Generative AI at Mastercard: Governance Takes Center Stage Stonier and Mastercard are still feeling their way with regard to generative AI. By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/c3ea4c
Most corporate boards lack directors with adequate skills to oversee cyber risk. New SEC regulations make correcting that deficiency more urgent. By Chon A, Sasha C, Iria G & Ronald R; via @mitsmr #ManagingTechnology #Leadership cstu.io/3d699a
sloanreview.mit.edu
Adding Cybersecurity Expertise to Your Board | MIT Sloan Management Review
Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.
These developing issues should be on every leader’s radar screen, data executives say.y By Thomas H. Davenport & @RandyBeanNVP; via @mitsmr #ManagingTechnology #TechnologyImplementation cstu.io/47b041
AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions. By @poddersanjay, Senthil Ramani & Shalabh K; via @mitsmr #ManagingTechnology #SocialResponsibility #ClimateChange cstu.io/91e71a
Most corporate boards lack directors with adequate skills to oversee cyber risk. New SEC regulations make correcting that deficiency more urgent. By Chon A, @sco_connell, Iria G & Ronald R; via @mitsmr #ManagingTechnology #LeadershipSkills cstu.io/0120b0
sloanreview.mit.edu
Adding Cybersecurity Expertise to Your Board | MIT Sloan Management Review
Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.
JoAnn Stonier, until recently Mastercard’s chief data officer, made an apt comparison between the movie and generative AI when she appeared on a recent panel. By Thomas H & @RandyBeanNVP; via @mitsmr #ManagingTechnology #ArtificialIntelligence cstu.io/8de24c
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