A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality.
As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated.
The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability.
When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what your organization needs and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals. Cisco® Digital Network Architecture (Cisco DNA™) is your team’s bridge to an intentbased network. It is an open, extensible, software-driven architecture that accelerates and simplifies your enterprise network operations, while lowering costs and reducing your risk. Only Cisco provides a single network fabric that is powered by deep intelligence and integrated security to deliver automation and assurance across your entire organization at scale. Cisco DNA gives IT time back from time-consuming, repetitive network configuration tasks so you can focus on the innovation your business needs. Cisco DNA automation and assurance are built on a Software-Defined Networking (SDN) controller, ri
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Deep learning opens up new worlds of possibility in artificial 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.
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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
Published By: LogMeIn
Published Date: Feb 27, 2018
Customer service organizations are struggling to react to the pace of innovation and the explosion of channels and devices. To get ahead of these challenges, AD&D pros must deeply invest in automation — automated answers, automated conversations, automated agent guidance, and automated end-to-end processes. They must also invest in intelligence to ensure automated technologies evolve and learn from prior interactions over time.
Automation and intelligence quell the headcount increases. They will free agents from working on low-value or repetitive tasks, as they will only have to address highly complex customer scenarios or exceptions to standard operations. This also enables them to focus on building connections with customers to garner their satisfaction and loyalty.
A Big 5 Canadian bank had been suffering from automated attacks on its web and mobile login applications for months.
Bad actors were performing credential stuffing attacks on all possible channels. Not only were the attacks leading to account takeover fraud losses, but the sheer volume of attacks also put significant strain on the bank’s infrastructure.
After months of playing cat-and-mouse with the attackers, the bank decided to seek out a sophisticated solution and approached Shape.
In this case study, learn how Shape’s Enterprise Defense service and Threat Intelligence team were able to successfully defend against these attacks.
How do we get more visibility into attacks across our environments, improve our response, and reduce response time? SANS Analyst, James Tarala, provides insight on the solution by automating functions that should be automated and connecting the dots between detection systems and response. Connecting these dots and applying intelligence provides responders rich context into the observed behaviors for taking action. Integrating these processes improves accuracy, while reducing time, manpower, and costs involved in detecting and managing events. This white paper explores how to achieve this.
Machine learning is all around us, from our smart home applications to driverless automobiles. The efficiency of automated decision-making is changing the game in cybersecurity, expanding the capabilities of humans by sifting through enormous quantities of data and presenting it as actionable intelligence.
Machine learning makes security teams better, and vice versa. Human-machine teams deliver the best of both worlds, allowing endpoint security to continually evolve to stop new attack tactics. Your team deserves the best that cybersecurity has to offer, and today the best endpoint security products leverage machine learning.
Today, business process automation isn’t just about efficiency, it’s about operating a business for your customers. To ensure a positive customer experience, a process must trigger an automated action, and automation must then manage the experience across multiple channels, personalize the customer’s interaction, and predict the best next actions. Read more, from Chris Thalassinos, Mahnaz Meshkati, and Frank Chiu of Communications Intelligence Group, and Brad Herrington of Interactive Intelligence.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Published By: Adverity
Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics
Marketing Data is big & highly fragmented
Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable.
We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack.
But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to.
Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
Published By: Adverity
Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC).
It's full of inspiration, useful tips and actionable insights for you to step up your marketing game.
In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal:
Knowing what data to capture
Understanding customer behaviour
Finding your technology solution
Ensuring analysis is impartial
Optimising website content - especially for your offline users
Published By: Adverity
Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future
This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation.
Scaling your business with Marketing Intelligence
Building a data strategy to stay ahead of the curve
Mastering the end-to-end data management process
Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it!
Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud
and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes
need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a
Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Published By: Datorama
Published Date: Aug 26, 2014
The extreme complexity of today’s marketing landscape, combined with the abundance of choices available to consumers, means marketers need to approach each marketing decision as intelligently as possible. Download this whitepaper to learn how marketers can utilize omni-channel analytics to garner strategic insights and guide them in the decision making process.
IBM SPSS Modeler is a powerful, versatile data and text analytics workbench. Learn how you can build accurate predictive models quickly and intuitively, without programming. So you can use data to understand the current state of your organization and get a view into the future.
We all know that teamwork makes the dream work. And in the case of procurement and accounts payable (AP), this rings especially true.This IOFM white paper explores the negative effects of dissociated procurement and AP departments and the benefits of integrating them with an automated, end-to-end P2P workflow, including:
-Fewer duplicate payments & improved ROI
-More collaborative teams & increased efficiency
-Heightened business intelligence from greater visibility & reporting
Published By: Symantec
Published Date: Nov 21, 2014
Computer viruses are yesterday’s news; automated attacks that morph rapidly, concealing themselves through encryption and deceptive packaging, are the new hotness. This paper describes how to start with improved malware reporting and gateway monitoring and how to combine this output with security intelligence from both internal and external resources. Forward thinking organizations use these and other techniques promoted by frameworks such as the Critical Security Controls. The key is to—as quickly as possible—detect hostile activity, identify and locate affected systems and devices, and respond appropriately.
Published By: LiveHive
Published Date: May 26, 2016
Using a multi-touchpoint strategy with automated email and call scheduling, sales organizations can quickly reach more prospects to maximize outreach efforts and improve connection rates. Download LiveHive's latest eBook to learn the five essential elements needed to implement and manage an effective multi-touchpoint sales strategy.