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Follow DISHA announcements, product developments, partnerships and perspectives — alongside important developments in AI, skills, education, workforce transformation, future of work and the technologies shaping human potential.
Source model for “Latest”: Mixed — source-labeled per item
DISHAIllustrative placeholder · 4 min read
The six-question Intelligence engine — People, Skills, Learning, Careers, Workforce, Decisions — is now explorable end-to-end on the platform. This lead story slot publishes real announcements from the DISHA newsroom CMS.
The Match Explorer demonstrates how verified, self-declared and inferred evidence stay distinguishable in shortlisting.
Illustrative placeholder — live stories publish from the newsroom CMS
Why 'did this once' and 'can do this now' get different answers — and why neither is a score.
Illustrative placeholder — live stories publish from the newsroom CMS
Observed, inference, forecast, scenario and recommendation never blend — here is what that looks like in practice.
Illustrative placeholder — live stories publish from the newsroom CMS
Signal strip
Skills-first hiring language keeps expanding across job platforms
Strengthens the case for evidence-aware talent discovery.
Sample signal — illustrative
Credential frameworks move toward verifiable, portable records
Aligns with DISHA's evidence and provenance model.
Sample signal — illustrative
Institutions pilot skills-based curricula alignment
Connects directly to programme outcome tracking.
Sample signal — illustrative
AI governance expectations tighten for high-stakes decisions
Human-authority design stops being optional.
Sample signal — illustrative
Workforce planning shifts to scenario-based methods
Gap ranges beat single-point estimates.
Sample signal — illustrative
Lifelong learning records gain interoperability momentum
The Genome™ model anticipates exactly this.
Sample signal — illustrative
Signature visual — the Human-Capital News Map
A timeline-and-constellation view links a current event to skills, technology, policy, industries, opportunities and DISHA concepts. Selecting a node opens related stories and canonical resources.
The “Why It Matters” layer — on every external story
What happened
Summarized, linked to the original publisher
Why it matters
One honest editorial paragraph
Who should care
Learners, institutions, employers, policy
Related DISHA concept
Canonical concept or resource link
Attribution rules: link directly to original publishers; show publisher and dates; summarize rather than reproduce; distinguish DISHA-authored, partner, external and editorial-analysis content; never turn an external forecast into a DISHA prediction; AI assists discovery and tagging — humans approve publication.
Deep links
