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 414Posts total
27.9KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
Legacy systems should not limit what an enterprise can achieve next.
Discover how Infosys and EDB helped a leading automaker modernize its database landscape with EDB Postgres AI, creating a modern foundation for greater agility, scalability, and innovation.
Read the case study
1.5K views · 3 likes
· 0 reposts · 1 replies
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The next phase of #AI transformation is not about deploying more tools.
It is about redesigning workflows, decision-making, and collaboration to build AI-first operating models.
Read insights from Bali, Infosys, on how enterprises can unlock lasting business value in the AI htt
1.4K views · 4 likes
· 0 reposts · 0 replies
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Powering growth across Southeast Asia.
See how Infosys is helping enterprises across Southeast Asia accelerate innovation, harness AI, and achieve sustainable business growth.
Watch now. https://t.co/2iVyoC1HKk
#BusinessGrowth #InfosysSEA #DigitalTransformation
@niranvs http
2.5K views · 6 likes
· 0 reposts · 1 replies
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1:34
Realizing enterprise AI outcomes requires more than technology. It requires the right ecosystem.
Infosys and HPE bring together deep AI expertise, proven enterprise transformation experience, and a robust technology foundation to help organizations navigate their AI journey with
3.4K views · 7 likes
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Content. Campaigns. Insights.
What happens when #AIconnects them into one intelligent marketing engine?
Explore how #InfosysAster helps brands deliver hyper-personalized experiences and measurable business outcomes.
Read more. https://t.co/IsEw3G8Gab
#AIPoweredMarketing https
2.3K views · 6 likes
· 1 reposts · 0 replies
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Software engineering is moving from task-level automation to outcome-led orchestration.
“Speed without trust will not scale.” - Satish H.C., Chief Delivery Officer, Infosys
In this article, he explores how AI is reshaping the software development lifecycle across design, https:
2.6K views · 7 likes
· 7 reposts · 1 replies
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The future of software development is less about writing every line of code and more about guiding #AI to build smarter solutions. As per latest research, by 2028, four in ten new production software applications are expected to be built using vibe coding techniques.
What if htt
2.3K views · 8 likes
· 4 reposts · 1 replies
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#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
2.2K views · 7 likes
· 1 reposts · 1 replies
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@Infosys A thought-provoking perspective on the evolution of software engineering. Moving from task-level automation to intent-led, AI-orchestrated delivery can help enterprises shift from productivity gains to meaningful business outcomes.
9 views · 0 likes
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@Infosys This is the real shift, from task automation to intent-led orchestration.
AI-first isn't about productivity gains, it's about installing operating systems that turn intent into business outcomes.
14 views · 0 likes
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@Infosys A compelling perspective on the evolution of AI in retail. The real opportunity lies in combining AI-driven agility with human judgment, supported by scalable infrastructure, skilled talent, and responsible governance.
11 views · 0 likes
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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:
2.5K views · 10 likes
· 6 reposts · 1 replies
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@Infosys This is true on discriminatory hiring practices. https://t.co/VPG6mzJpNg
22 views · 1 likes
· 0 reposts · 0 replies
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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
2.8K views · 7 likes
· 2 reposts · 3 replies
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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
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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
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เทียบกับบัญชีขนาดเดียวกัน
16 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.
ยอดดูมัธยฐาน2 220บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %0.43%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.30%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 2 220 | 5 983 | 0.37× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 0.43% | 1.49% | 0.29× |
| อัตราการมีส่วนร่วม | 0.30% | 0.93% | 0.32× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
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
2.8K1 Sep
22
2.5K2 Sep
11
143 Sep
9
2.2K
2.3K4 Sep
2.6K5 Sep
2.3K8 Sep
3.4K
2.5K9 Sep
1.4K
1.5K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.43%1 Sep
4.55%
0.69%2 Sep
0.00%
0.00%3 Sep
0.00%
0.41%
0.57%4 Sep
0.61%5 Sep
0.31%8 Sep
0.27%
0.28%9 Sep
0.29%
0.26%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes62.7%74 in total
Reposts19.5%23 in total
Replies11.0%13 in total
Quotes1.7%2 in total
Bookmarks5.1%6 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.
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