Intelligent Search
Intelligent Search, comprehending All
Discover how intelligent Search eliminates data silos and helps end-users and customers find the information they need quickly and easily.
What exactly is intelligent Search?
Intelligent Search, powered by Artificial Intelligence (AI) technology, eliminates data silos and helps end-users, staff and clients locate the information they need quickly and easily. End-users can use intelligent Search to find and extract information from anywhere (inside or outside your organisation) and in data sets regardless of the format: big data in databases, document management systems, digital content, web portals, on paper, wherever. Intelligent and enterprise search are synonymous with Natural Language Processing, AI, or AI-powered, and cognitive Search.
History and advancement of intelligent Search
In the past Enterprise, information retrieval systems came into existence long before the public internet did. One of the earliest benefits of implementing multi-user mainframe computer systems accelerated information discovery by finding exact matches to ‘text-strings’ in large document containers.
With the growth of desktop personal computing and corporate intranets, many known vendors’ commercial enterprise search solutions became mainstream in enterprise computing.
However, the rise and popularisation of free, publicly available web search engines, such as Google, fundamentally altered end-user expectations for information retrieval, in-depth content detection and Enterprise Search environments.
Today’s brilliant search solutions must be deployed on architectures that can handle the performance demands of big data workloads. Although their function is to deliver the necessary scalability, cloud infrastructures with extensive API-driven integrations and automation are usually best suited for the task.
Intelligent Search vs Traditional Search Engines
Organisations can’t use Google or other traditional search engines to find business-specific answers, such as “what information client rejected from 2010 presentation?” or “what indemnities we have encountered with client A?” For a straightforward reason that those search engines don’t have access to your information, and they are not using AI and ML to process the information
Unlike search engines and web search (such as Bing, Google Search, or Yahoo), Intelligent Search surfaces information and answers specific to your private, confidential business information.
Understand Human Language Quirks
Business data is continuously analysed, updated and written in domain-specific terminology. Natural Language Processing (NLP) capabilities enable intelligent search applications to understand and query digital content from multiple data sources. In addition, semantic Search and contextual understanding help intelligent Search to break down linguistic nuances, synonyms, and relations found in everyday language and inside complex documents.
Learn Document Structure
Intelligent search tools have a document understanding AI that scales to understand many data sources. Machine learning enables intelligent Search to learn the visual structure of documents specific to your enterprise, industry, or domain space. With this understanding, intelligent Search quickly learns and identifies elements such as headers, footers, charts, and tables. With out-of-the-box capabilities, it can recognise document types such as contracts, purchase orders, and invoices.
Take advantage of Machine Learning
Machine Learning (ML) and Deep Learning (DL) create seamless, immediate query suggestions and continuously improve search query result relevancy OVER TIME, predicting what information will provide the most value to users.
Filter Granularly Search Results
Faceted and filtered Search narrows down dramatically the scope and finds specific and, most importantly, RELEVANT information in data collections.
Classify and Categorise Subject Matter
Entity extraction locates and catalogues text data elements into predefined categories such as the names of persons, products, locations, object types, or organisations.
Creative, it is NOT about tools it is about state of mind. You need tools to get back time.
How exactly does Intelligent Search work?
Data Connectors to Ingest all Data
To pull information, answers and insights from anywhere, you need to connect and crawl all of your unstructured (approx 80% of data is unstructured) and structured data. A “connector” (API) lets you plug into a content source, such as Salesforce, Box, Microsoft SharePoint, Databases, Web Crawler, or Uploaded data.
Index Content
Content indexing creates a unified search index to allow for the homogenous ranking of search results, regardless of their source.
Improve Data Content
The capability to query and extract insights is dependent on the ability to extract metadata from your content. Enhance your content by leveraging out of the box Natural Language Processing (NLP) enrichments, such as entity extraction and sentiment analysis, to categorise and identify key content.
Analyse Content
Recognises the contents of documents, classifies them and creates the semantic correlations between the individual pieces of content.
Delivers pin-point Answers and Displays Insights
Intelligent scoring algorithms rank passages, provide end-users with the most ACCURATE, relevant quotes and snippets in response to the query.
Sample Intelligent search queries
Intelligent Search compares terms within Natural Language Queries (NLQ) against the content in its indexed information.
— Questions – “What is the latest bill from European Commission on hedge funds and real estate funds?”
— Key Phrases – “Two Sigma Investments historical price patterns.”
— Keywords – “distressed securities, equities, hedging.”
“Dramatic improvement over traditional keyword searching”
We have uploaded the last ten years information about Tauron (Energy Company). As Tauron is on Warsaw Stock Exchanges, they provide quarterly, six-monthly and yearly reports. AI and ML have gone through 145 documents, some as long as 315 pages, analysed and comprehended information available.
We asked a question:
What was the best net profit on PLN for Tauron?
The same question you would ask a financial expert/consultant. It looks that 2012 was the best year, and you have a chance to drill this down by looking at supporting documents
*PLN – Polish Currency
Advantages and Benefits of Intelligent Search
Discovering Insights to Drive Decisions
There are many insights hidden in your unstructured text data. Intelligent search applications use Natural Language Processing (NLP) to discern meaning and make correlations across data sources – social media (tweets, LinkedIn), customer feedback, e-commerce reports, and maintenance records – to reveal real-time insights with speed and precision.
Relevant Information Always Available at your Employees fingertips.
Use intelligent search to create an enterprise search platform – available for everyone, knowledge management, content management system, or question answering system to provide a simple team-wide enriched user experience.
Scalable Customer Service
Give your customers the correct answer every single time and provide an excellent customer experience. Customers want more than FAQs.
Right now more than ever, they want to fully self-serve on your web portal, and mobile applications — virtual agents and intelligent Search allow your customers to achieve independence and quick response at any time. Self-sufficient customers translate to reduced support costs and higher customer satisfaction.
Bright diverse people dynamic immersive experience, you will get powerful results
Case Studies
Businesses store documents and data across numerous sources in unstructured and structured forms – repositories. On average, employees spend 20% of their time looking for information and 44% of the time, they can’t find the information they need to do their job. (source; Mckinsey, and IDC, respectively). That waste happens every single day, per each employee.
Finding insights and answers in your company’s UNSTRUCTURED data should be easy. It’s the highest time for your business to become innovative, data-driven with intelligent Search, powered by AI and ML
- Saves Time — Organisations could automate knowledge discovery to complete ten days worth of work in two minutes.
- Saves Money — An energy client has saved upwards of USD 10 million worth of time by cutting down on searching for relevant information inside their enterprise knowledge bases.
- Reduces Workload — An insurance client reduced reading and analysing of internal enterprise data workload by 90%.
- Drives Revenue – in the Legal Sector, Law Firm use search applications to improve business processes with great accuracy and become four times more productive, generating revenue increases of as much as 30%
What drives us at v500 Systems?
We get an ‘enormous kick’ when we solve problems that many can’t.
Our core objective is to add value
Contact Us for more information and deploy Artificial Intelligence and Machine Learning, and how our tools can make your data more accurate. We can answer all your questions.
Schedule a Meeting | Artificial Intelligence | Virtual Coffee
Please take a look at our Case Studies and other Posts to find out more:
Artificial Intelligence in Healthcare
Accurate Data, due to Artificial Intelligence
Artificial Intelligence (AI) – 10 Questions?
Explainable AI (XAI) – understand the rationale behind the results of ML