BUSINESS INTELLIGENCE · 6GDT
What Comes After Generative AI?
Inferential Intelligence. Research on the transition from content generation toward inference, discovery and better human decision-making.
RESEARCH IDENTITY
Dr. Saeid Khorami
Business Intelligence researcher · Sixth-Generation Digital Transformation · Inferential Intelligence
Founder & President, SHITO-RYU EISHIKAI KARATE-DO
RESEARCH FOCUS · BUSINESS INTELLIGENCE
Business Intelligence Beyond Prediction.
My research examines how Business Intelligence may evolve when AI moves beyond generation and prediction toward connecting evidence, questioning causality, forming hypotheses and supporting discovery.
Central research questionHow should Business Intelligence evolve when AI begins to reason across evidence, relationships and hypotheses?
Future of Business Intelligence
From dashboards and prediction toward reasoning layers that improve understanding, judgment and strategic decision-making.
Explore Business Intelligence →Inferential Intelligence
The ability to move from known evidence toward relationships, hypotheses, causal questions and deeper explanations.
Explore Inferential Intelligence →Sixth Generation of Digital Transformation (6GDT)
A proposed framework for the transition from generative systems toward inferential intelligence, Human–AI co-discovery and knowledge creation.
Explore 6GDT →Peer-Reviewed Publications
Two published research papers.
Peer-reviewed work by Saeid Khorami on digital transformation in higher education.
Identification and Validation of Factors Influencing Digital Transformation in Higher Education
Research identifying and validating technological, managerial and human factors shaping digital transformation in higher education.
View journal article →Presenting a Model for Digital Transformation in Higher Education
A meta-synthesis study presenting a structured model for digital transformation across universities and higher-education institutions.
Journal article · DOI 10.61838/dtai.2.3.3 →RESEARCH NOTES & EXPLORATIONS
Research streams, questions and developing frameworks
Government and organizations, Business Intelligence, sport management, causality, management questions and emerging 6GDT frameworks are presented here as connected research streams.
A visual selection of current research streams
The Metric–Mission Gap · Government & AI
Delegate Action, Keep Authority
Institutional Intelligence in Government
Correlation Is Not Causation
Inferential Liberation
The Seesaw Effect · Full Research FrameworkOpen research notes
NEW · GOVERNMENT & ORGANIZATIONS · 6GDT
A perfect metric can still serve the wrong mission.
An analysis of the gap between improving AI performance measures and fulfilling the public mission.
Read the analysis and evaluation framework →NEW · GOVERNMENT & ORGANIZATIONS · 6GDT
Delegate the action. Keep the authority.
As AI agents begin to execute tasks, governments must separate operational permission from legitimate public authority.
Read the evidence-led analysis →NEW · GOVERNMENT & ORGANIZATIONS · 6GDT
When does a government AI pilot become institutional intelligence?
Only when evidence and failure are validated, retained and carried into the next public decision.
Read the evidence-led analysis →NEW · SIXTH-GENERATION BUSINESS INTELLIGENCE · No. 02
Correlation is not causation.
Business Intelligence can reveal what moves together. Better managerial decisions require hypotheses, causal testing and explanations that survive validation.
Read the conceptual analysis →NEW · PROPOSED RESEARCH FRAMEWORK
The Seesaw Effect
Can extreme intelligence asymmetry pass a critical threshold—turning the leaders’ advantage into systemic fragility and rebound?
Explore the three-stage framework →PROPOSED HYPOTHESIS · 6GDT RESEARCH PATH
Inferential Liberation
What if AI’s greatest contribution is not answering for humanity, but releasing thoughts humanity could never fully express?
Read the Inferential Liberation Hypothesis →NEW · MANAGEMENT RESEARCH QUESTIONS · No. 05
Can a process use the hope of being selected to attract the credibility of reputable individuals?
Part 05 examines how perceived opportunity may attract reputable participants—and how their participation can become a source of credibility and legitimacy for the process.
Read Management Research Question No. 05 →
MANAGEMENT RESEARCH QUESTIONS · No. 04
If the composition of voters can be managed, is it still necessary to directly manage the outcome?
Part 04 examines the architecture of participation: how shaping who enters a decision-making body may influence the probability of an outcome without directly altering the vote.
Read Management Research Question No. 04 →
MANAGEMENT RESEARCH QUESTIONS · No. 03
Can the credibility of respected participants be transferred to the credibility of an outcome?
Part 03 examines a possible credibility-transfer chain: respected participants may strengthen the perceived credibility of a process, which may in turn strengthen acceptance of its outcome.
Read Management Research Question No. 03 →
NEW · MANAGEMENT RESEARCH QUESTIONS · No. 02
If the outcome is already decided before the process begins, what does the process actually select?
Part 02 examines the shift from selection to legitimation: when formal procedure, credible participants, and apparent competition may generate acceptance for a pre-shaped outcome.
Read Management Research Question No. 02 →
MANAGEMENT RESEARCH QUESTIONS · No. 01
How does management turn predetermined decisions into seemingly merit-based and accepted outcomes?
A research inquiry into manufactured legitimacy, selection processes, and the transfer of participants’ credibility to a predetermined outcome.
Read Management Research Question No. 01 →
SPORT MANAGEMENT · 6GDT SERIES
Sport Management & Sixth-Generation Digital Transformation
Seven connected research notes—from the base framework and inferential intelligence to injury reasoning, trust, causality, managerial validation and Human–AI decision architecture.
01 · FRAMEWORK
Sixth-Generation Digital Transformation in Sport
From sport reality and integrated data to inferential intelligence, validation and new knowledge.
Read post →
02 · INFERENTIAL SPORT
From AI-Driven Sport to Inferential Sport
Why prediction and generation are not enough for knowledge-based sport management.
Read post →
03 · INJURY REASONING
From Injury Prediction to Injury Inference
Moving from a risk alert toward causes, intervention and organizational learning.
Read post →
04 · INFERENTIAL TRUST
From Inference to Trust in Sport
Which AI-generated inference deserves to influence a managerial or performance decision?
Read post →
05 · CAUSALITY
From Prediction to Causality in Sport
What will happen, why does it happen, and what changes if a factor is altered?
Read post →
06 · MANAGERIAL DECISION
From Inference to Managerial Decision
The validation layer between an AI inference and real organizational action.
Read post →
07 · LATEST · HUMAN–AI DECISION
Who Should Make the Final Decision in Sport?
How authority, accountability and validation should be shared between managers and AI.
Read latest post →About
Business Intelligence, inference and the next stage of digital transformation.
I am a Business Intelligence researcher with a PhD in Information Technology Management. My current work explores how AI may move from generation toward inference — and what that shift means for organizational intelligence, strategic decisions and digital transformation.
Research profile
My research explores how organizations and societies move beyond digitization and content generation toward inference, judgment, and sustainable value creation. The central research trajectory connects 6GDT, the Age of Inference, Inferential Intelligence, and Neo-Inference Science.
6GDTSixth-generation digital transformation
NISNeo-Inference Science framework
AI & StrategyHuman-centered inferential systems
Sports LeadershipFounder & President, SHITO-RYU EISHIKAI KARATE-DO; 8th Dan black belt, international karate coach and referee
THEORETICAL DEVELOPMENT
Neo-Inference Science as a supporting research program.
NIS is developed as an underlying theoretical program for Human–AI co-discovery, recursive knowledge evolution and the study of inference. It supports the broader 6GDT research agenda rather than replacing it.
The conceptual architecture
Within this program, 6GDT is the primary transformation framework, Inferential Intelligence is the central capability, and Neo-Inference Science is an underlying theoretical development for Human–AI co-discovery.
The Age of Inference6GDTInferential IntelligenceInferential ArtInferential DesignInferential Society
SECONDARY · LIVE INTELLIGENCELive news and market-context tools are intentionally placed after the core research, publications and profile sections.
Open Technology Newsroom
Technology Newsroom
What changed in technology — and why it matters.
A current seven-day technology window powered by Google News with Yahoo News and MSN coverage.
CHECKING · 3 SOURCES
TOP TECHNOLOGY SIGNALUpdating…
TECHNOLOGY NEWSRanking the most consequential technology developments…
The newest verified-source signal will appear here.
Executive LensWhy this development matters for strategy, technology and business will appear here.
Offline narration is included. Press Listen to hear the current story.
GOOGLE NEWS
YAHOO NEWS
MSN
Technology headlines are collected only from Google News, Yahoo News and MSN.
Technology Video Briefing
The latest technology signal in motion
Play the visual briefing with narrated context for the current lead technology story.
Scanning local video files…
Open Business Intelligence Signals
Decision Context Dashboard
Business Intelligence Signals
Selected market, digital-asset, BI and AI signals are presented as context for strategic interpretation and decision-making — not as investment recommendations.
LIVE CONTEXT SIGNALS
Market ContextLive PanelsAmericas · Europe · Asia
Digital Asset ContextUpdating…24h weighted signal
BI Source FeedLoading source count…Power BI · Tableau · Qlik · Looker
AI Source FeedUpdating…Primary-source items
Method note: “Current Items” is the number of entries loaded from named BI sources. It is a feed count—not an activity, performance, or investment score.
Major Global Stock Markets
Americas · Europe · AsiaCrypto Intelligence
BTC · ETH · BNB · SOL · XRPMarket data may be real-time or delayed depending on the exchange and data provider. Exchange status and the timestamp shown by the market widget are the authoritative freshness indicators.
Precious Metals & Energy Prices
GOLDSILVERPLATINUMPALLADIUMWTI OILBRENT OIL
Live Digital Asset Metrics
Crypto 24h Comparison
CRYPTOUpdating…24h
Decision Context Layer
From Signals to Business Impact
MARKET INTELLIGENCE
Preparing current global market signals…
What Happened
Current source-based market developments are loading.
Why It Matters
The dashboard will translate market events into decision context.
Business Impact
Business implications will be separated from the underlying source headline.
—INFERENCE SIGNAL
Inference Layer
Cross-signal perspective is updating
This layer combines market, crypto, BI and AI activity into a concise decision-support perspective. It supports human judgment; it does not replace it.
Business Intelligence Signal Feed
Latest BI Changes
Loading the newest BI developments…
Updating the latest Business Intelligence signals…
Product, analytics, data platform and AI-assisted BI developments will appear here.
Updating →Microsoft Power BITableauQlikGoogle Cloud / Looker
Contact
Research and professional correspondence
A simple contact point—without separate, repeated social-media sections.