intelligence

Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.

IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics

SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with advanced analytics, threat detection, monitoring tools, incident response tools and multiple forms of threat intelligence. Download your complimentary copy of “The Six Essential Capabilities of an Analytics-Driven SIEM” and learn how to dramatically improve your security posture, advanced threat detection and incident response.

The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities

Gartner's “2017 Critical Capabilities for Security Information and Event Management” report assesses eight SIEM capabilities against the increasingly complex vendor landscape. The conclusion? Splunk had the highest score in the Security Monitoring use case. We believe customers rely on Splunk’s advanced security analytics capabilities to meet their SIEM and security intelligence needs — improving threat detection, investigation and time to remediation. It’s proven to help with compliance and incident reporting, automated alerting of common security events and historical analysis for detected incidents. CISOs, CIOs, and security and risk leaders should download Gartner’s annual report to make the best-informed buying decision for security and learn about Splunk’s leadership position in the market.

Today’s factory intelligence is the collaborative orchestration of people and machines. By blending intelligence from multiple sources, factories are truly becoming smarter. But it’s not just about the machines. Rather, people are improving machines through a true partnership that turns human experience into smarter machines. This shift marks a re?orientation to a thought process that’s more natural to people. After decades of working with 2D blueprints, designs and dimensioned drawings, factory intelligence leverages 3D models that are easier for people to comprehend and use. Plus, many people find more satisfaction in intelligent factory work that challenges them to manage relationships among machines, rather than repeatedly working on a single piece in a line. In smarter factories, people direct machines to adjust for shifting customer requirements and market demands.

What does it take to succeed in today’s hypercompetitive and hyperconnected digital economy? Keep reading to find out.

In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi

Ask the average business user what they know about Business Intelligence (BI) and data analytics, and most will claim to understand the concepts. Few, however, will profess to know how analytics works or to have the skills needed to put it into practice. Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniques—but that doesn’t stop them from wanting to have a go. This situation has led to ease of use and accessibility becoming the main focus for recent updates from all the leading BI vendors—but making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their data—and that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work. Unfortunately, the

Adsquare offers brands insights into customer behaviours and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, Adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places. and why customers make transactions in specific places.

How can brands make the most of the growing opportunities offered by location data? Understanding location and its connection to customer behaviour is key to gaining full and reliable insights and making efficient change. HERE is building and sharing real-time location intelligence which reveals why customers make transactions in specific places. HERE’s Open Location Platform contextualises consumer motivations in the world around them. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE also shares its own insights into the future of reaching customers on their mobile devices as they travel, including in-car advertising.

Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.

How do you keep people safe in a ‘once in a 1,000 years’ weather event? Hurricane Harvey was a category four hurricane which struck the coast of Texas, eastern Texas and southwestern Louisiana in August 2017. HERE was able to track the storm and accurately report more than 2,100 road closures and blockages in real-time helping people stay out of harm’s way. HERE is the world’s leading provider of traffic incident information to the automotive industry. This eBook shows how HERE’s deploys its people and artificial intelligence to gather the data, check it for accuracy and produce insights which keeps drivers safe.

Baseball has always collected in-game data. However, until recently, fans didn’t have easy access to the various statistics that coaches used for key decisions important for the development of the players and success on the baseball field. It’s not unlike how traditional business intelligence is delivered. Data and reports are set aside for a few experts who determine what is important for you. Today, baseball statistics are widely available during broadcasts on TV, PCs and mobile devices. Basic data displays like inning and score are enhanced with metrics meaningful to students of the game, such as pitch speed, strikeout percentages and hit zones. It’s a good example of vital information being delivered in real-time, on demand and in context.

Aberdeen’s Content Marketing survey revealed that while 95% of marketers are using or considering using a content marketing strategy, there are some distinct differences between those using content well and those just using content. The Best-in-Class are not only creating content at volume, they are taking a much more data-driven approach to their content marketing strategy — and it’s paying off. Find out how.

Aberdeen’s research shows that 90% of Best-in-Class marketers report fueling lead generation efforts with content marketing. What do you need to know to follow this best practice of the Best-in-Class? That’s exactly what this Knowledge Brief is intended to uncover.

This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.

Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.

Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.

Business intelligence analytics streamline the task of gathering critical data across the health care enterprise and turns it into readily accessible, actionable information. Health care business intelligence is a package of software and services that offers clarity on and control over the vast amount of data needed to successfully run a medical organization.

The Business Intelligence Survey provides you with well-designed KPI dashboards packed with concise information, which can be absorbed at a glance.

This Economist Intelligence Unit report discusses how highgrowth small and mid-sized enterprises (SMEs) are scaling their organisations to provide resources for growth whilst ensuring flexibility to respond quickly to changes in market conditions; the role of technology in scaling SMEs; and success factors in scaling headcount.

ESG Lab performed hands-on evaluation and testing of the Hitachi Content Platform portfolio, consisting of Hitachi Content Platform (HCP), Hitachi Content Platform Anywhere (HCP Anywhere) online file sharing, Hitachi Data Ingestor (HDI), and Hitachi Content Intelligence (HCI) data aggregation and analysis. Testing focused on integration of the platforms, global access to content, public and private cloud tiering, data quality and analysis, and the ease of deployment and management of the solution.

In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.

Advertisers have made great strides in understanding consumers’ digital journeys. But in order to truly map the steps of the consumer – including bridging the journeys between digital and physical worlds – you need advanced location-enabled intelligence. Find out how precise real-world geometry gives you the context you require to create personalized consumer experiences with the HERE and Location-Based Marketing Association (LBMA) white paper. HERE Technologies gives you the location context you need to make sense of your dynamic user data. Mapping consumer movements to real-world elements such as points of interest, retailers and their building shapes allows you to observe consumer journeys to within meters, and deliver more timely, accurate campaign messages.