behavior data

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Published By: Darktrace     Published Date: Jun 17, 2019
Darktrace’s Enterprise Immune System provides Trek with an unprecedented level of visibility into its network and the day-to-day behaviors exhibited by the users and devices within it. Thus, the company has a much improved understanding of its network as a whole. “As a multinational business, it is crucial that we are able to protect the individuality and integrity of our brand, including intellectual property and customer data,” said Dane Sandersen, Global Security Director at Trek. “Darktrace’s Enterprise Immune System has given us peace of mind that we are wellequipped to defend against today’s sophisticated attacks.”
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Darktrace
Published By: AWS     Published Date: Jun 03, 2019
Background How do you maintain secure systems and operations across an elastic, complex AWS environment? As SailPoint transformed from a startup to a publicly traded company, their AWS infrastructure grew as well. With this growth, SailPoint needed to be able to identify and respond to anomalous behavior quickly, while simultaneously trying to align their organization into a cohesive DevSecOps organization. Join this webinar to learn how SailPoint gained a holistic view into their cloud infrastructure, plus how you can enable your Security and DevOps teams with in-depth insights into AWS infrastructure to make actionable, data-driven decisions to reduce risk.
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AWS
Published By: Intel     Published Date: Apr 15, 2019
o With foot traffic falling and online shopping options growing, retailers must find new ways to “digitize” and understand real-world behavioral data—such as in-store browsing patterns, staff attentiveness, and specific product interest— in the same way that online retail utilizes big data to optimize online experiences. They must also find innovative ways to keep customers engaged with their brands, especially in expensive brick-and-mortar locations. In this environment, managing labor costs is critical, as these costs are second only to real estate. Assigning and enabling sales associates cost-effectively is key to profitability. Retailers have an opportunity to meet their challenges by putting new data and Internet of Things (IoT) technologies to work
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Intel
Published By: Intel     Published Date: Apr 11, 2019
The Internet of Things (IoT) unleashes valuable business insights through data that’s gathered at every level of a retail organization. With IoT and data analytics, retailers now have the capability to gather insight into customer behavior, offer more personalized experiences, achieve better inventory accuracy, create greater supply chain efficiencies, and so much more. But with data comes great risk. A recent report by security firm Thales and 451 Research found that 43 percent of retailers have experienced a data breach in the past year, with a third reporting more than one breach.1 Intel® technology-based gateways and Asavie, a provider of next-gen enterprise mobility management and IoT connectivity solutions, offer a security connectivity solution that minimizes the effort and cost to businesses to ensure safety from cybersecurity attacks. In addition, the Intel/Asavie IoT solution provides retailers with a solid basis to build their smart, connected projects:
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Intel
Published By: HERE Technologies     Published Date: Mar 26, 2019
The retail sector has been expanding with each passing decade thanks to intelligent marketing, intense research around customer behavior, creative advertising, and the adoption of new technology. Now industry movers and shakers are looking to boost sales with location intelligence. With location intelligence, retail companies can track and predict consumer trends and shifts in demand. With these insights companies can capitalize on growth opportunities in new product or service areas. HERE Open Location Platform provides powerful, easy-to-use developer tools, standardized technology and scalable infrastructure to simplify the processing of location-based data. Learn how to gain a competitive edge with HERE Technologies.
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location data, mapping, here technologies
    
HERE Technologies
Published By: SambaSaftey     Published Date: Mar 15, 2019
Today, it’s commonplace for companies to check the motor vehicle records (MVRs) of their drivers once a year. That’s considered due diligence. But what if one driver gets a moving violation or a citation for driving under the influence three weeks after the report was pulled? It could take months for that potentially costly issue to come to light. Likewise, a driver safety policy issued annually is typically worth about as much as the paper it’s written on. There is great potential in setting high standards and creating positive driving behaviors, but this must be a continual process informed by concrete policies, shared motivation to improve, useful data, and quality leadership. Fortunately, several important practices can help companies create a better safety culture –saving money, reducing risk and legal vulnerability, and keeping employees and communities safe. Here’s how.
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SambaSaftey
Published By: HERE Technologies     Published Date: Dec 06, 2018
adsquare offers brands insights into customer behaviors 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.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: MobileIron     Published Date: Nov 07, 2018
In recent years, the market for mobile and cloud technologies has completely shifted the behavior of enterprise users. People can now work anywhere, on any device, to access business apps and data from mobile apps and cloud services. Static, perimeter-based security can no longer keep up with all of the endpoints, users, apps, and data that travel far beyond the corporate firewall. Relying on old security approaches like password-only access control is no longer enough to secure this vast mobile-cloud infrastructure — especially since stolen user credentials were the top cause of data breaches in 2017.
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MobileIron
Published By: Adobe     Published Date: Oct 24, 2018
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
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Adobe
Published By: Bluecore     Published Date: Oct 23, 2018
AFTER DECADES IN THE LIMELIGHT, email remains the most powerful channel for eCommerce marketers. And this success continues even as many eCommerce marketing teams rely heavily on batch and blast emails that go to their entire list without any customization. While such efforts clearly bring in revenue, they also leave money — a lot of money — on the table. Recognizing that largely untapped opportunity, top eCommerce marketers have started to take a more strategic approach to email. In addition to traditional batch and blast campaigns, these marketers now tailor messages based on both their customers’ behaviors and changes to their product data in order to send more customized and timely messages.
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bluecore, retail, email, report, ecommerce, marketing
    
Bluecore
Published By: Cisco Umbrella EMEA     Published Date: Oct 12, 2018
Not long ago, even the most astute executives couldn’t fully anticipate how quickly emerging technologies would transform their business operations — and even their business models. Laptops, smartphones, and other mobile devices; high-bandwidth wireless networks; and cloud-based computing services have proven to be among the most impactful of these advances, collectively untethering workers from office environments and fundamentally altering work behaviors. employees today work anytime, anywhere while accessing applications and data that reside on company servers and in the cloud. Cisco Umbrella can help your business overcome these problems, download this whitepaper today to find out more.
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Cisco Umbrella EMEA
Published By: Adobe     Published Date: Oct 11, 2018
Adobe offers powerful personalization tools that help you give your customers custom experiences every time they interact with you. With Adobe, you can take control of your data, use AI to achieve scale, and see incredible results. Adobe Target helps marketers deliver relevant, personalized experiences to highly targeted audiences based on behavioral analytics and audience data. Powered by AI and machine learning, users can deliver individualized customer experiences at massive scale.
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Adobe
Published By: HERE Technologies     Published Date: Sep 26, 2018
Mobile has become the first screen for consumers in terms of internet time spent. Hyperlocal location data is unique to mobile and provides a lot of new, valuable information about consumers. Today’s sophisticated buyers demand more transparency in location data science, better campaign performance and ROI from attribution modeling. Finding the right partner that can help build the bridge between real-world consumer behavior and mobile programmatic advertising in a transparent way is essential. To meet those challenges and address the demand for top quality location data, adsquare integrated a global database of HERE Places in April 2017. By leveraging HERE Places and overlaying raw location data of anonymous users with POI data points, adsquare is able to understand exactly what consumers are doing in the real world: what places they visit, when and how often. To find out more download this paper today.
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HERE Technologies
Published By: Intel     Published Date: Sep 14, 2018
Today’s tech savvy consumers are continually driving organizations to deliver a modernized shopping experience. To achieve this, retailers are pushing the edge on developing non-traditional ways in delivering sales messages. One of the best ways to engage shoppers with an in-store digital presence is through modern adaptive signages. Modern signages enable two-way interaction between customers and businesses, tapping onto cutting-edge technologies such as sensors and analytics to respond to customer behavior—helping retailers customize content on the fly. Find out how Giada Technology leveraged on Intel® processors to power up their cloud terminals to pre-process signage, sensor, and mobile data to efficiently exchange information with the cloud. Retailers are better positioned to present contextual promotions to the shoppers, delivering benefits of lesser wait-time and increased customer satisfaction.
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Intel
Published By: Intel     Published Date: Sep 10, 2018
Today’s tech savvy consumers are continually driving organizations to deliver a modernized shopping experience. To achieve this, retailers are pushing the edge on developing non-traditional ways in delivering sales messages. One of the best ways to engage shoppers with an in-store digital presence is through modern adaptive signages. Modern signages enable two-way interaction between customers and businesses, tapping onto cutting-edge technologies such as sensors and analytics to respond to customer behavior—helping retailers customize content on the fly. Find out how Giada Technology leveraged on Intel® processors to power up their cloud terminals to pre-process signage, sensor, and mobile data to efficiently exchange information with the cloud. Retailers are better positioned to present contextual promotions to the shoppers, delivering benefits of lesser wait-time and increased customer satisfaction.
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Intel
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: Vehicle Tracking Solutions     Published Date: May 31, 2018
Safety is a top priority for companies with a fleet of drivers and vehicles. It starts with hiring and screening new employees with safe driving records and qualifications. You may even have written safety policies. However, having visibility into your driver’s whereabouts and their behaviors behind the wheel is key in identifying and preventing risks before it costs your business. Do you wish that you could sit in the passenger seat of every vehicle in your fleet to watch driver behavior? With data-driven fleet safety management software from Silent Passenger you can. According to NHTSA, the cause of 94% of collisions is driver error. By monitoring unsafe driver behaviors such as speeding, hard braking, and fast acceleration is key to preserving fleet safety. A reliable fleet safety management software delivers key business intelligence that helps maintain fleet efficiency and productivity on the road. Improve Safety and Reduce Operational Costs Running a safer fleet can have a signif
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Vehicle Tracking Solutions
Published By: HireVue     Published Date: May 18, 2018
Recruiting leaders know that if their companies aren’t sourcing and hiring for diversity they are missing valuable talent and experience. This is one of the reasons diversity has been a focus area for improvement in recent years. Many organizations start with training. While diversity training is important for creating awareness, it doesn’t a¬ffect human behavior. A 2017 meta-analysis of studies investigating bias training confirmed this. Formal training can reduce unconscious bias, but it does not change behavior.13 This has put talent leaders in a di cult position. The way to make real progress on diversity hiring initiatives is by using systematic processes that apply data-driven decision making. With structured interviews and AI, you can overcome unconscious bias and make hiring more equitable for all candidates.
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HireVue
Published By: Bluecore     Published Date: May 14, 2018
After decades in the limelight, email remains the most powerful channel for eCommerce marketers. And this success continues even as many eCommerce marketing teams rely heavily on batch and blast emails that go to their entire list without any customization. While such efforts clearly bring in revenue, they also leave money — a lot of money — on the table. Recognizing that largely untapped opportunity, top eCommerce marketers have started to take a more strategic approach to email. In addition to traditional batch and blast campaigns, these marketers now tailor messages based on both their customers’ behaviors and changes to their product data in order to send more customized and timely messages. To better understand how retailers are using email, including the extent to which they have embraced individualized messaging opportunities and the effectiveness of those messages, Bluecore turned to the data. Our 2018 Retail Email Benchmark report provides a baseline understanding of these a
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Bluecore
Published By: Dassault Systèmes     Published Date: May 09, 2018
Discerning and demanding consumers expect meaningful retail interactions. Creating new world-class experiences is vital to differentiate products and boost profits in the consumer goods market. • Let me shop when and how I want: Technology to research and buy products defines consumer behavior, driven by social media’s “see now, buy now” mentality. • Give me relevant data: With ever-expanding information, every touchpoint should have customer data that matters. • Give me a truly unique experience: Innovative retailers use new partners and tools to deliver personalized consumer experiences. • Pair my products with consistently good service: New customer service technologies are crucial in a world with more consumer/retailer choices. • Make my retail environments better: Consumers want memorable, differentiated experiences in user-friendly digital and physical retail environments. I invite you to download your targeted industry analysis and uncover the expectations to take into account a
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Dassault Systèmes
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: ForgeRock     Published Date: Mar 22, 2018
What the Internet of Things means for consumer privacy discusses the findings of an Economist Intelligence Unit (EIU) research programme, sponsored by ForgeRock, that explores the privacy concerns and priorities of global consumers stemming from the Internet of Things (IoT) and related technologies.
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forgerock, consumer privacy, data security, iot, internet of things, internet security, consumer behavior, tracking data
    
ForgeRock
Published By: SAS     Published Date: Mar 06, 2018
Machines learn by studying data to detect patterns or by applying known rules to: • Categorize or catalog like people or things • Predict likely outcomes or actions based on identified patterns • Identify hitherto unknown patterns and relationships • Detect anomalous or unexpected behaviors The processes machines use to learn are known as algorithms. Different algorithms learn in different ways. As new data regarding observed responses or changes to the environment are provided to the “machine” the algorithm’s performance improves. Thereby resulting in increasing “intelligence” over time.
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SAS
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