IDC Report - Unified Information Access on a Solid Search Base

Jun 5, 20152 likes626 views

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IDC Report - Unified Information Access on a Solid Search Base

This document discusses navigating user data management and data discovery. It provides an overview of evaluating and selecting data management tools for a Hadoop data lake. Key criteria for evaluation include metadata curation, lineage and versioning, integration capabilities, and performance. Several vendors were evaluated, with Global ID, Attivio, and Waterline Data scoring highest based on the criteria. The presentation emphasizes selecting a limited number of tools based on business and user requirements.

ROI Case Studies: Experience the TSIA ImpactTSIA

What To Do When Watson FailsAttivio

The document discusses some challenges with IBM's Watson project. It notes that Watson missed deadlines and did not deliver as expected. Customers spent money on Watson but have not deployed it for any real uses. The document then provides tips that could indicate a failing Watson implementation, such as long timelines before seeing value and high consulting fees. It argues an alternative integrated cognitive platform may provide faster time to value at a lower cost than Watson.

Cognitive Search for Knowledge ManagementAttivio

The document discusses cognitive search and knowledge management. It notes that 53% of executives see knowledge management as important for innovation. Traditional knowledge management faces challenges around inefficiencies, integration, and consumerization of IT. The document promotes a cognitive approach using machine learning to personalized deliver relevant information. Key benefits include finding answers, recommending content, and connecting people. It provides examples of how cognitive knowledge management has helped companies like Cisco, ThermoFisher, and National Instruments.

Cognitive Search for Knowledge ManagementAttivio

The document discusses cognitive search and knowledge management. It notes that 53% of executives see knowledge management as important for innovation. Traditional knowledge management faces challenges around inefficiencies, integration, and consumerization of IT. The document promotes a cognitive, machine learning approach to knowledge management that can find answers, recommend content, and connect people through personalized delivery of information. Benefits include equipping a smarter workforce, tapping collective knowledge, and empowering continued insight. Case studies show how cognitive knowledge management helps Cisco, ThermoFisher, and National Instruments.

Attivio Predictions 2017Attivio

In 2017, leading companies will roll out targeted search applications on a common platform to provide "search as a service" and increase employee productivity. While most organizations have Hadoop, very few can easily find, understand, and unify their data. The best performing companies will start by cataloging their data lakes to gain visibility and fuel agility. Forward-looking companies will recognize that modern, cognitive solutions rely on a global, semantic understanding of structured and unstructured information using machine learning, natural language processing, and text analytics on a single infrastructure.

Achieving Compliance Efficiencies Amid Heightened Regulatory ScrutinyAttivio

The document discusses regulatory expectations around anti-money laundering (AML) compliance certification under New York banking law Part 504. It notes the law will apply to all state-chartered banks and non-bank financial institutions, and holds organizations responsible for ensuring their AML/sanctions screening programs comply with regulations. The document also discusses challenges around scalability, integration, and consistency for investigations as transaction volumes grow, and proposes solutions like improved data integration, standardized processes, and machine-assisted investigative workflows.

Attivio Survey of Big Data Decision MakersAttivio

The survey found that: - Nearly all big data leaders are optimistic their companies are leveraging big data efficiently by dedicating new talent and tools to big data initiatives and gaining internal alignment on its use. - However, only about half say big data is extensively leveraged across all business units, and challenges include "shadow analytics", too much time spent gathering rather than analyzing data, and reliance on manual methods. - Companies need better tools, more centralized talent, and greater understanding of big data's value to fully leverage it. While most leaders make sufficient efforts, some say their companies are not doing enough.

Reduce Risk and Protect Brand Value Through Proactive Monitoring and Compliance Attivio

TDWI Best Practices Report- Achieving Greater Agility with Business Intellige...Attivio

The document discusses how organizations are seeking to improve the agility of their business intelligence (BI) systems in order to support faster decision making. It focuses on organizations implementing agile development methods and self-service BI tools to deliver information more quickly. Technologies like data virtualization, agile data warehousing, and analytics are helping to provide diverse and relevant data to users. Adopting managed self-service BI, improving user-developer collaboration, and applying agile development practices are recommended for enhancing a BI system's flexibility and reducing the time needed to provide value.

Attivio Customer Success Story - USGAAttivio

Attivio Customer Success Story - UBS NeoAttivio

Attivio Customer Success Story - Durkheim Project Attivio

Attivio Customer Success Story - CitiAttivio

Citi Private Bankers needed a way to quickly gain a unified view of client information from multiple systems to improve customer service and sell additional products. Attivio's Active Intelligence Engine was able to rapidly ingest and correlate client data from various sources. This provided Private Bankers a comprehensive client profile on an iPad app. This enabled better consultations, increased customer satisfaction and retention, and identified additional cross-sell and upsell opportunities for Citi.

Accelerate Data Discovery Attivio

Customer Retention & Upsell Solution BriefAttivio

The document discusses how Attivio's customer retention and upsell solution allows companies to provide a 360 degree view of customers by incorporating data from all interactions and transactions. This comprehensive view empowers client-facing teams to work smarter by gaining insights into customers and their needs. As a result, account executives can take a proactive approach to strengthening relationships and increasing sales. The solution has proven successful for companies like Citigroup and UBS in improving customer satisfaction and boosting performance metrics like revenue and retention.

eCommunications Surveillance Solution Brief Attivio

Attivio's eCommunications Surveillance solution enables financial organizations to reduce reputational risk and protect their brand value by proactively monitoring communications data through holistic surveillance. It connects to required monitoring data to surface concise, accurate information that facilitates compliance. The solution reduces regulatory fines and penalties by proactively monitoring multiple sources, and increases analyst productivity by focusing on high-risk areas and reducing false positives.

Attivio Product and Company OverviewAttivio

Attivio’s Active Intelligence Engine? (AIE?) provides an unprecedented level of business understanding and actionable insight, beyond what is possible using enterprise search or business intelligence/data warehousing (BI/DW) solutions alone. AIE freely integrates, joins and presents structured data (databases) with unstructured content (documents, SharePoint, web, email, etc.) for true unified information access (UIA). AIE empowers business users to easily access and analyze all relevant enterprise information to not only understand what is happening, but to also gain vital context to explain why it is happening. AIE customers identify new business solutions and opportunities which might otherwise go undiscovered.

Attivio Active Security Technical BriefAttivio

Attivio Company BrochureAttivio

Attivio Customer Success Story - UBS Neo Customer Retention & UpsellAttivio

Attivio Customer Success Story - National Instruments Search & DiscoveryAttivio

Attivio Customer Success Story - Information Services Search & DiscoveryAttivio

Attivio Customer Success Story - Global Technology Company Search & DiscoveryAttivio

Attivio Customer Success Story - GE Search & DiscoveryAttivio

Attivio Customer Success Story - GE Capital Fleet Services Search & DiscoveryAttivio

GE Capital Fleet Services wanted to provide its North American fleet managers easy, self-service access to all information related to its 1.2 million drivers and 1 million vehicles so they could easily act on that information, including sending email alerts for maintenance due or vehicle recalls. The current process was unacceptable: managers had to request separate static reports from an Oracle database and IBM mainframe, export the data to Excel, and sort and filter the data to find drivers and vehicles requiring action.

Attivio Customer Success Story - GE Aviation Search & DiscoveryAttivio

GE Aviation wanted to better monitor the performance of the jet engines it sells to customers around the world. The engines operate under a wide spectrum of climates and environmental factors that may impact engine viability. The manufacturer realized that the ability to access all types of data (structured, semi- structured and unstructured content) would allow them to significantly enhance its service efforts. The customer’s goal is to be proactive in the monitoring of their customer’s engine usage in order to improve their responsiveness and increase customer satisfaction.

Attivio Customer Success Story - Fleet Services Search & DiscoveryAttivio

The fleet services division of a leading global financial firm wanted to provide fleet managers easy, self-service access to all information related to its 1.2 million drivers and 1 million vehicles so they could easily act on that information, including sending email alerts for maintenance due or vehicle recalls. The current process was unacceptable: managers had to request separate static reports from an Oracle database and IBM mainframe, export the data to Excel, and sort and filter the data to find drivers and vehicles requiring action.

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A Relative Information Gain-based Query Performance Prediction Framework with...suchanadatta3

To improve the QPP estimate for neural models, we propose to use additional information from a set of queries that express a similar information need to the current one (these queries are called variants). The key idea of our proposed method, named Weighted Relative Information Gain (WRIG), is to estimate the performance of these variants, and then to improve the QPP estimate of the original query based on the relative differences with the variants. The hypothesis is that if a query’s estimate is significantly higher than the average QPP score of its variants, then the original query itself is assumed (with a higher confidence) to be one for which a retrieval model works well.

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