Would you like to make better-informed decisions about where to invest your time & resources? Are you interested in gaining more insight into what is working, what isn't, & why?
There is a movement towards advanced & predictive analytics in the Learning & Talent Management space.
But what does that really mean? Bluewater's team of consultants & developers can help you define what analytics means for your company.
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible:
• Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds.
• Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds.
• Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes.
• Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
Most of the public and its public safety professionals live and work in a digital world of mobile devices instant connectivity, and geo-location.
This one powerful fact, is changing the way police and first responders react to incidents and interact with the communities they serve. Types and severity of incidents are also changing, due in part to socio-cultural and environmental factors.
Complicated risk scenarios requiring inter-agency coordination are occurring in both urban areas and once-sleepy suburban towns. To perform in this volatile new reality, public safety is undergoing a digital transformation focusing more on predictive and preventive practices.
Download this whitepaper today to find out how Fujitsu can help your organisation today.
Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market.
Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
Published By: Mintigo
Published Date: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more.
This paper will cover:
• The benefits, evolution and capabilities of AI technology solutions for B2B organizations
• The core and extended capability groups of AI
• The business priorities supported by AI
Fill out the form to get your free copy!
Published By: Mintigo
Published Date: Sep 05, 2018
Creating a data-driven, intelligent sales and marketing system is both today’s challenge and tomorrow’s imperative. Marketers can no longer live by “I think, I feel” and sales can no longer manage by “gut instinct.”
Data is the new power currency in sales and marketing, and this is especially true if you want to succeed in an account-based marketing approach. Begin with the end in mind, use data and predictive intelligence to discover and target accounts and decision makers, create targeted content, select channels, deliver an omni-channel experience and measure results.
This ebook will cover seven steps that every account-based marketer and seller should follow to create a successful process for ABM.
Published By: Mintigo
Published Date: Sep 05, 2018
Artificial intelligence (AI) enables marketers using a predictive marketing platform to address many strategic questions. Whether you’re new to AI for Marketing or more seasoned with the use of AI, this ebook is a great resource for you.
In this ebook, you’ll learn how to:
• Optimize your marketing spending
• Increase conversion rate across the funnel
• Optimize customer engagement
• Cross-sell and upsell throughout your customer base
• Segment leads and grow customer value
• Grow your market and find new prospects
Fill out the form to get your free copy!
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast.
In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
Aberdeen research has shown that when organizations harness the power of Flash, they are able to more effectively implement a digital transformation, build hybrid infrastructures,
and gain increased agility and competitive advantage. In this eBook, we’ll explore how leading businesses can better their future with flash arrays that are Predictive, Cloud-Ready, and Timeless..
Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight.
This ESG report highlights:
• Optimal application performance and delivery is difficult to achieve in complex environments.
• Many IT infrastructure and operations teams are stretched to the breaking point.
• Predictive analytics and machine learning can be applied to great effect.
HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the
HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage
installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts
customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit
delivered to HPE Nimble Storage customers is significant, driving:
• 79% lower IT operational expenses.
• 73% fewer trouble tickets in the environment, which are resolved faster.
• 85% less time spent resolving storage-related trouble tickets.
• 69% faster time to resolution for events that necessitate level 3 support.
• The ability to manage and troubleshoot the entire infrastructure environment from a single, intelligent platform.
HPE InfoSight analyzes millions of sensors every second to predict and prevent problems across the infrastructure stack and transform the support experience. Based on ESG research, the benefits to enterprises stemming from HPE InfoSight are both significant and unique.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
-Top 5 causes of downtime and poor performance across the infrastructure stack
-How machine learning and predictive analytics can prevent issues
-Steps you can take to boost performance and availability
Published By: Cylance
Published Date: Aug 22, 2018
Cylance engaged SE Labs to independently assess CylancePROTECT’s ability to predict and prevent previously unknown threats. SE Labs pitted the May 2015 version of CylancePROTECT® — without a cloud connection or updates — against some of the most destructive and disruptive threats that appeared between 2016 and 2018, after the model was trained and deployed.
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
A modern data warehouse is designed to
support rapid data growth and interactive analytics over a variety of relational, non-relational, and
streaming data types leveraging a single, easy-to-use interface. It provides a common architectural
platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling
organizations to derive deeper business insights.
Key elements of a modern data warehouse:
• Data ingestion: take advantage of relational, non-relational, and streaming data sources
• Federated querying: ability to run a query across heterogeneous sources of data
• Data consumption: support numerous types of analysis - ad-hoc exploration, predefined
reporting/dashboards, predictive and advanced analytics
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
Produced in collaboration with INFOPRO Digital with participation from Capgemini
MAINTENANCE MADE EASY WITH THE HELP OF DATA
Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively.
Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies.
Download this solution brief to learn more.