CIO Journal
@CIOJournalNews, analysis and data for technology executives, powered by editors and reporters from The Wall Street Journal.
Similar User
@CIOonline
@EyeOnTech_TT
@InfoWorld
@InformationWeek
@mvizard
@CIOWaterCooler
@knash99
@Steve_Rosenbush
@DavidLinthicum
@IDC
@marthaheller
@bobevansIT
@editingwhiz
@timgrieveson
@ciotalknetwork
Advanced AI has opened up a nearly limitless number of use cases for companies, but also a new set of risks—including public backlash and damage to corporate reputation wsj.com/articles/compa… via @WSJ
Some 911 centers struggle to locate cellphone callers and can’t receive texts or photos, as a number of systems continue to rely on decades-old legacy phone lines wsj.com/articles/some-… via @WSJ
Pro Take: New U.S. restrictions on investments in China's tech sector could leave American companies vulnerable to chip shortages over the medium term, if China makes it more difficult for U.S. companies to access chips produced in China wsj.com/articles/pro-t… via @WSJ
As more employees use generative AI-based software at work, business technology leaders are scrambling to manage their potential cybersecurity risks. wsj.com/articles/ai-is… via @WSJ
As more employees use generative AI-based software at work, business technology leaders are scrambling to manage their potential cybersecurity risks. wsj.com/articles/ai-is… via @WSJ
Some 911 centers struggle to locate cellphone callers and can’t receive texts or photos, as a number of systems continue to rely on decades-old legacy phone lines wsj.com/articles/some-… via @WSJ
Aiming to safeguard information integrity, governments are racing to develop new laws and regulations to help people identify fake content wsj.com/articles/pro-t… via @WSJ
Synthetic data promises the ability to gauge various health factors with fewer privacy and regulatory concerns. Healthcare providers say the tech has some challenges. wsj.com/articles/ai-ge… via @WSJ
As large language model makers align themselves with cloud companies, the question for CIOs is whether they stay within the AI ecosystem offered by their cloud providers wsj.com/articles/compa… via @WSJ
Energy-intensive AI is running up data center leases, commercial real-estate services firm CBRE says wsj.com/articles/risin… via @WSJ
Traditional cloud infrastructure wasn’t designed to support large-scale artificial intelligence. Hyperscalers are quickly working to rebuild it. wsj.com/articles/the-a… via @WSJ
Companies say they’re inundated by generative AI features and co-pilots rolled out by IT sellers, leading to growing complexity and confusion for workers wsj.com/articles/compa… via @WSJ
Successful corporate investment in technology requires each effort be treated as a dimension of products and business value wsj.com/articles/pro-t… via @WSJ
Companies say they’re inundated by generative AI features and co-pilots rolled out by IT sellers, leading to growing complexity and confusion for workers wsj.com/articles/compa… via @WSJ
🧵 One hundred days ago, Wall Street Journal reporter Evan Gershkovich was detained in Russia during a reporting trip. He remains in a Moscow prison. We’re offering resources for those who want to show their support for him. #IStandWithEvan wsj.com/Evan
Companies must be ready to adjust quickly as they invest in the rapidly shifting technology landscape wsj.com/articles/pro-t… via @WSJ
Companies are building new AI tools to help make front-line jobs easier and more efficient. There’s only one problem: workers don’t use them. wsj.com/articles/ai-pr… via @WSJ
A company’s capacity to integrate and improve upon technology starts at the top wsj.com/articles/pro-t… via @WSJ
Many startups are looking to build more niche, industry AI models in areas such as finance or healthcare—but getting access to training datasets there hasn’t been easy. wsj.com/articles/ai-st… via @WSJ
Software giant seeks to prevent today’s proprietary corporate data from becoming training fodder for tomorrow’s large language models wsj.com/articles/sales… via @WSJ
United States Trends
- 1. $MAYO 11,6 B posts
- 2. Tyson 417 B posts
- 3. Pence 48,4 B posts
- 4. Kash 81,3 B posts
- 5. Dora 23,3 B posts
- 6. Debbie 22,5 B posts
- 7. Mike Rogers 12,7 B posts
- 8. #LetsBONK 8.937 posts
- 9. Laken Riley 48 B posts
- 10. Gabrielle Union 1.233 posts
- 11. Ticketmaster 17,5 B posts
- 12. Iron Mike 17,6 B posts
- 13. Whoopi 70,4 B posts
- 14. Pirates 20,2 B posts
- 15. #FursuitFriday 16,1 B posts
- 16. Cenk 12,3 B posts
- 17. Fauci 177 B posts
- 18. National Energy Council 1.947 posts
- 19. The UK 442 B posts
- 20. The FBI 239 B posts
Who to follow
-
CIO.com
@CIOonline -
Eye on Tech | TechTarget
@EyeOnTech_TT -
InfoWorld
@InfoWorld -
InformationWeek
@InformationWeek -
mvizard
@mvizard -
CIO WaterCooler
@CIOWaterCooler -
Kim Nash
@knash99 -
Steve Rosenbush
@Steve_Rosenbush -
DavidLinthicum
@DavidLinthicum -
IDC
@IDC -
Martha Heller
@marthaheller -
Bob Evans
@bobevansIT -
Chris J. Preimesberger
@editingwhiz -
Tim Grieveson
@timgrieveson -
CIO Talk Network
@ciotalknetwork
Something went wrong.
Something went wrong.