Cloudera ✓

@cloudera · Santa Clara, CA · joined 04 Sep 2008

Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge.

106 259Followers

2 854Following

14 650Posts total

3.8KViews on collected posts

Postingan terbaru

Cloudera ✓@cloudera18 Sep

Big Data LDN is almost here. Join Cloudera September 23–24 at Olympia London for two days focused on data, analytics, and AI. Stop by Booth K129 to connect with our team, and don’t miss Adam Segal's session, “Securing Sovereign AI with Automated Data Lineage,” on September 24 h

704 views · 0 likes · 0 reposts · 0 replies Open on X →

Cloudera ✓@cloudera17 Sep

How do you keep a promising AI pilot from becoming a “zombie” project? Recorded at #EVOLVE26 Singapore, the latest episode of The AI Forecast features Praveen Jayakumar of AWS exploring what it takes to move enterprise AI beyond the proof of concept. Tune in: https://t.co/FBg3C

671 views · 0 likes · 0 reposts · 0 replies Open on X →

Cloudera ✓@cloudera17 Sep

Energy and utilities organizations are making progress on the data foundations needed to scale AI, but cost and complexity remain challenges. New findings from our Data Readiness Index 2026 show that 86% of respondents have visibility into where their data resides, while 79% can

872 views · 1 likes · 0 reposts · 0 replies Open on X →

Cloudera ✓@cloudera16 Sep

What happens when AI ambition meets real-world execution? Find out at the EVOLVE Forum Milan on October 21. Join data and AI leaders to explore practical strategies, proven use cases, and what's next for enterprise AI. Register now: https://t.co/aYhvoRSiqt https://t.co/4CQJHHPR

825 views · 0 likes · 0 reposts · 0 replies Open on X →

Cloudera ✓@cloudera15 Sep

What can pharmaceutical R&D teach us about making sense of complex, fragmented data? Recorded at #EVOLVE26 Singapore, the latest episode of #TheAIForecast features Brian Martin our CTO of Applied AI, exploring how AI and knowledge graphs can connect information across data silos

756 views · 1 likes · 1 reposts · 0 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.

Median tayangan756akun ini5 971median untuk 100K–1M

Jangkauan, %0.71%akun ini1.57%median untuk 100K–1M

Interaksi, %0.00%akun ini0.99%median untuk 100K–1M

Metrik	Akun ini	Median untuk 100K–1M	Rasio
Median tayangan per postingan	756	5 971	0.13×
Jangkauan (tayangan ÷ pengikut)	0.71%	1.57%	0.45×
Tingkat interaksi	0.00%	0.99%	0.00×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

75615 Sep

82516 Sep

87217 Sep

671

70418 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.26%15 Sep

0.00%16 Sep

0.11%17 Sep

0.00%

0.00%18 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.99%.

What the audience does

Likes66.7%2 in total

Reposts33.3%1 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.