Invited lecture2025
Optimizing Bank Marketing Using Machine Learning and Predictive Models
- Affordable and Clean Energy
- Decent Work and Economic Growth
- Industry, Innovation and Infrastructure
- Partnerships for the Goals
- Thriving and Sustainable Economy
The record
- Type
- Invited lecture
- Date
- 6 November 2025
- Level
- International — held in India
- Location
- Gunupur, Odisha, India
- School
- Reporting cycle
- 2025
- Programme
- IEEE 3rd International Symposium on Sustainable Energy, Signal Processing and Cybersecurity, 06-08 November 2025, GIET University, Odisha
- Role
- Paper Presenter
- Organiser
- GIET University, Gunpur
- People presenting
- 2
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
8.2 Achieve higher economic productivity through diversification, technological upgrading and innovation
Tier B rule economy-and-productivity matched "marketing" in the record’s own title. Names economic activity, productivity or a commercial or financial system, which is target 8.2.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
7.2 Substantially increase the share of renewable energy in the global energy mix
Tier B rule renewable-energy matched "sustainable energy" in the surrounding programme or host, banded one lower because the match is contextual. Names a renewable energy source or its technology, which is target 7.2.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Tier B rule computing-and-ai matched "machine learning" in the record’s own title. Names computing, data or artificial intelligence as the method or the subject. Target 9.5 unless an applied domain also fires, in which case the domain takes the primary and this takes the secondary.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
17.16 Enhance the global partnership for sustainable development, complemented by multi-stakeholder partnerships
Structural signal: an international-level designation with no named counterpart.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- sdg17-structural-v1, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 8 label. Tier B rule economy-and-productivity matched "marketing" in the record’s own title. Names economic activity, productivity or a commercial or financial system, which is target 8.2.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Records of this type were classified by a published, versioned rule set, over 5,246 activities. Each label above carries the rubric version it was produced under. How each classification is reached.
Evidence
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Provenance
Which source system this record came from, how many source rows were resolved into it, and when each was last read.
- Source rows resolved into this record
- 2
- Source records held
- 2
2 rows across the university’s source registers were resolved into this one activity. Where those rows disagreed on a value, the disagreeing values are retained alongside the record and are never shown as a combined string.
| Source system | Reference | Last read |
|---|---|---|
| KIIT PBAS reporting workbook (consolidated) | Data - Invited Lecture!680 | |
| KIIT PBAS reporting workbook (consolidated) | Data - Invited Lecture!739 |
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Citing this record
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KIIT Deemed to be University. “Optimizing Bank Marketing Using Machine Learning and Predictive Models”. Kortex. Last read 17 September 2026.