Home > Resources > Whitepapers > Connected Intelligence Data Lake for Business

Connected Intelligence Data Lake for Business

January 1, 2019

Big data and analytics is permeating every corner of the enterprise. The ability to leverage datadriven insights to respond to customers ' changing needs, innovate and deliver new forms of value is crucial to the success of organizations across all sectors. In order to respond with agility and speed in today's fiercely competitive market, business stakeholders need a way to turn raw data into valuable insights quickly and cost effectively without depending on corporate IT. They need an easy-to-setup, trusted data repository that ingests, stores and manages all types of data--structured and unstructured, internal and external.

Spotlight

Kloutix Solutions Pvt. Ltd.

Never before in the history of consumerism, has the power of decision making shifted so radically into the hands of the consumer. With social media and mobile becoming mainstream, gone are the days when any business could work solely on the traditional models of business management. Today agility and consumer responsiveness has to be high and every aspect of the business has to be constantly improved significantly. This leads to an expansion in the role of analytics across functions, business units, departments etc. making it an organization wide decision making discipline. A large part of intuitive and experiential decision making has to be replaced with scientific methods of outcome prediction.

OTHER WHITEPAPERS

Securing Data In Motion: Working at the Speed of the Mission

whitePaper | August 25, 2022

Everyday user experiences are being completely reimagined. Requesting a ride through an app is better than calling a cab. Buying online is changing the way we go shopping. And gone are the days of waiting in long lines at your local bank. Data within these modern businesses is in constant motion, flowing, in real-time, across systems, environments, and applications every time a user interacts with the system.

atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

Accelerating Data Modernization with Azure

whitePaper | May 18, 2021

Next-gen data operations require next-gen data technologies and strategies and Azure is an ideal platform for this modernization to take place. Download this white paper to better understand the strategies, philosophies, and technologies your organization needs to expand analytics abilities, reduce technical debt, embrace AI, and more.

DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

Cisco HyperFlex HX Data Platform

whitePaper | September 23, 2022

The Cisco HyperFlex™ HX Data Platform revolutionizes data storage for hyperconverged infrastructure deployments and makes Cisco HyperFlex Systems ready for your enterprise applications—whether they run in virtualized environments such as Microsoft Windows 2016 Hyper-V or VMware vSphere, in containerized applications using Docker and Kubernetes, or in your private or public cloud. Learn about the platform’s architecture and software-defined storage approach and how you can use it to eliminate the storage silos that complicate your data center.

On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

Connected Intelligence Data Lake for Business