COGNITIVE SEARCH ENGINES

TAIGER SEARCH’S VISION & VALUE PROPOSITION

2019 / 20 VISION PAPER 1

INTRODUCTION

THE SEARCH FOR ANSWERS NOT JUST RESULTS CURRENT LIMITATIONS

Search engines are the most fundamental workhorses in every digital Usability workplace but its challenges are under documented. Usability is an issue within organisations. Users today play a guessing game with search engines, trying different combinations of keywords and fine tuning them to achieve the search results they need. Sometimes even a skilled specialist or bot needs to be deployed to conduct the search. Usefulness of the results is another issue. Information relevance and recommendations in enterprise search engines are not as robust as public search engines because referral links are non-existent. Thus, traditional page rank algorithms fail in enterprise search. With results Usefulness Unknown not being accurate, time is lost in fine tuning the search to achieve the right of results Unknowns information. Lastly, the perpetual ‘unknown unknowns’ plague current users. User can only reach what they can name. Relevant information that cannot be extracted by a keyword-based search would therefore not be discoverable because they cannot be named.

“Not just listing results but connecting the dots”

In today’s digital environment, expanding operations are creating data silos. Organisations are demanding greater data- connectivity for better decision making. To achieve that, enterprise search engines not only need to identify information across both on-cloud and on-premise environments but also understand and translate users’ complex requirements without the inefficiencies associated with it.

INEFFICIENCIES IN CURRENT ENTERPRISE SEARCH JOURNEY

Fine Tune Repeat Across Final Results User Query Results List Searches Domain Output Query Not Manual Inaccurate Manual and Limited Understood Scrolling Through Results Repetitive Recommendations

SEARCH’S VISION

A that understands the meaning of queries and provides precise answers and recommendations for whole of organisations.

Provide More Understand User Provide Related Expand Searches Retrieve Accurate Results Queries Content to other Relevant Corresponding Fields Knowledge more Efficiently VISION PAPER 2

KEY COMPONENTS

TARGET GROUP AND NEEDS TAIGER Search supports today’s tripartite demand; search by users, partners and administrators.

OUR VISION HAS 3 KEY PILLARS: ACCESSIBILITY TO INSIGHTS, AUGMENTATION OF INSIGHTS AND AUDIT INSIGHTS.

Each would have its respective use cases and features that strengthen the specific pillar.

Pillar 1: Accessibility of Information TAIGER Search’s facilitates simple and complex queries through various types of user specific searches across multiple domains and automatically summarise the content so as to surface relevant searches quickly and their connection to the query meaningfully.

KEY COMPONENTS:

Query Relationship Map

A mind map showing the relationship of information base on a query for quicker identification of information instead of a list of results .

Multi-Search Interface

A single interface with a host of user friendly search features to find answers quicker. Search features include, keywords, contextual, predictive, boolean, syntax, predictive, natural language and knowledge fabric search.

Cross Knowledge Bases

The ability to conduct searches across multiple repositories.

Bot-Connectable

Direct function-based questions can be asked via a bot instead of a search query in a search box.

Smart Recommendation Engine

Provide immediate best suggestions by understanding the context of the query and studying relevant past behaviors of similar queries. VISION PAPER 3

KEY COMPONENTS

Pillar 2: Accuracy of Information TAIGER Search is robust enough to identify a broader range of information type including documents, images, voice and video, and understand the meaning of information. This facilitates a natural way and precise search.

KEY COMPONENTS:

Natural Language Processing & Machine Learning

Recognise entities base on knowledge fabric (ontology) and expand metadata of document. Machine learning service add metadata based on classification model.

Knowledge Fabric

Identify, and connect information by relationship from various that will enhance knowledge discovery.

Auto Updating Engine

Self learning abilities by merging, align or replace new information with existing ones to enhance both information accuracy and discovery.

Pillar 3: Audit of Information TAIGER’s search engine being a source of truth for analysing search metrics. Analytics on the tagged information would allow administrators the ability to conduct audits on their repositories of information for business process enhancements as well as governance.

KEY COMPONENTS:

Full Spectrum Metrics

Searches, document views, user likes/rating amongst others can be presented to external reporting or recommendation services.

Customisable Dashboard

Analytics interface can be customised base on an organisation’s requirement. VISION PAPER 4

VALUE PROPOSITIONS

THE VALUE PROPOSITIONS OF CONVERSE FOR CONNECTED ORGANISATIONS 6 key value propositions that Search delivers to connected organisations.

01. Productivity Attributable to Search Quality

TAIGER Search’s ability to reveal a deep understanding of the query and present the information in a manner that explains the relationship and its broader context would hasten the discovery of relevant information, increase search accuracy and decision making speed.

02. Improve Independent User’s Workflow

In connecting information pieces and presenting its relationships, TAIGER Search would offer users a more explorative approach towards search, allowing relevant information to be prioritised for the user’s consumption. This is a radical enhancement from the current ‘search and fine tune’ method of searching.

03. Accelerate Cross-Functional Interdependence and Decision Making

With TAIGER Search embedded within departments that work interdependently (eg. Investment banking - Sales and analysts) the use of insights as references would become an automated norm instead of process driven meetings which will hasten the decision making process and promote better collaboration.

04. Facilitate Better Service and Customer

For organisations that augment search to upstream applications like CRM, risk assessment tools or marketing automation tools, an in-app search function would provide the necessary insights to make a swift and more informed judgement.

05. Search as a Source of Intelligence for Staff Training & Business Performance

The auditable function of TAIGER Search allows administrators an inside look at searched queries and offer insights to the state of staff training. For search engines used by partners, it can reveal emerging business opportunities to prioritise.

06. Ease of Maintenance through Self Updates

Auto knowledge fabric update feature would allow organisations to update their knowledge fabric whenever new information is connected to the information environments. This keeps maintenance cost low and the benefit is multiplied when operations are scaled up. VISION PAPER 5

CONCLUSION

The value of improving enterprise search impacts the whole of organisation. It is a process that exists in every department, practiced by each staff, every day. TAIGER Search offers the accessibility to insights, augmentation of insights and audit insights to match today’s enterprise demands. By connecting an organisation’s knowledge map, TAIGER Search offers a deep level of understanding through presenting context, connections and recommendations that are relevant to the subject of search. The quality of search results will have an obvious impact on the productivity of each department. The analysis of search backlogs will also offer profound benefits to decision making on strategic functions like business operations, risk assessment, staff training and knowledge gaps identification. To maximise these benefits, TAIGER Search is able to build in line with department level goals and has a corresponding roadmap for continuous improvement. With this in mind, the potential of a search engine that connects the dots for organisations is exponential. ADDRESS CONTACT Website 1 Grange Rd, #07-01 (+65) 6781 5030 www.taiger.com Orchard Building, [email protected] Singapore 239693

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