Infosys

@Infosys · Global (HQ: Bangalore, India) · joined 21 Apr 2008

Follow us to join conversations on how to #NavigateYourNext! We help clients navigate transformation with #AI powered core, #AgileDigital & lifelong #Learning

517 000Followers

17Following

36 401Posts total

10KViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views2 194this account22 159median for 100K–1M

Reach, %0.42%this account6.71%median for 100K–1M

Engagement, %0.36%this account1.18%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	2 194	22 159	0.10×
Reach (views ÷ followers)	0.42%	6.71%	0.06×
Engagement rate	0.36%	1.18%	0.31×

Others in this range → Compare with another account → How these benchmarks are built →

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

2.1K1 Sep

2.2K

2.7K

2.3K2 Sep

6913 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

0.23%1 Sep

0.36%

0.45%

0.69%2 Sep

0.29%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.18%.

What the audience does

Likes57.8%26 in total

Reposts22.2%10 in total

Replies13.3%6 in total

Quotes2.2%1 in total

Bookmarks4.4%2 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.

Latest posts

#AI is already transforming contact centers. But do you know when it's failing? The conversation is shifting from AI deployment to AI accountability. Organizations now need observability, continuous testing, and governance to ensure AI delivers meaningful customer outcomes and h 691 views · 2 likes · 0 reposts · 0 replies 03 Sep 2026 AI is moving beyond assistance to become an active collaborator in retail. As agentic capabilities advance, intelligent systems are helping retailers respond to changing business conditions, make informed decisions, and act with greater agility. In this article, Santhosh https: 2.3K views · 9 likes · 6 reposts · 1 replies 02 Sep 2026 AI is reshaping software engineering from task-level automation to intent-led, AI-orchestrated delivery. Satish H.C, Infosys, shares a thought-provoking perspective on what it takes to build AI-first enterprises that move beyond productivity gains towards business outcomes and h 2.7K views · 7 likes · 2 reposts · 3 replies 01 Sep 2026 AI innovation is shifting from bigger models to smarter execution: Hugging Face achieved 3.2x faster inference and 33-point higher GPU utilization, Snowflake launched dynamic model routing, NVIDIA's AVO agents hit a perfect ARC-AGI-3 score, and Databricks unveiled Document https: 2.2K views · 5 likes · 2 reposts · 1 replies 01 Sep 2026 Climate action is no longer a standalone sustainability initiative. It is a business imperative. In an interview with People Matters, Guruprakash Sastry, Infosys, shares why climate goals must be embedded into strategy, governance, and day-to-day decision-making. He discusses h 2.1K views · 3 likes · 0 reposts · 1 replies 01 Sep 2026