Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
Published By: Cisco EMEA
Published Date: Mar 26, 2019
Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally. As a result, customers are asking more questions during the buying cycle about how their data is captured, used, transferred, shared, stored, and destroyed. In last year’s study (Cisco 2018 Privacy Maturity Benchmark Study), Cisco introduced data and insights regarding how these privacy concerns were negatively impacting the buying cycle and timelines. This year’s research updates those findings and explores the benefits associated with privacy investment.
Cisco’s Data Privacy Benchmark Study utilizes data from Cisco’s Annual Cybersecurity Benchma
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. And with nearly all smartphones equipped with geolocation abilities, advertisements can be made location-aware with improved precision for targeting. Understanding location is key to gaining improved insights.
HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them to provide well-timed and relevant advertising.
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline.
HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
Whether informing talent strategy or building more effective teams, data-driven insights about your workforce can set you up for success. This eBook from Human Capital Institute explores how people analytics can empower your entire organization. Read now.
Published By: Dell EMC
Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to:
• Improve productivity of internal applications
• Increase revenue through enhanced customer interacton and improved customer acquisiiton
• Reduce costs by optimizing operations
• Enhance products and services with "smart" functionality such as vision and voice interaction and control
This paper provided by Dell and Intel® gives executi
Still using spreadsheets for financial planning? With multiple templates? Leading to serious versioning and collaboration difficulties? AI-driven integrated, digitized financial planning is the answer. Helping you spend less time gathering and consolidating data, and more time unearthing the key insights and accurate forecasting hidden within it. Download the white paper and find out how harnessing AI can supercharge FP&A.
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation.
What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
An effective rolling forecast is important to estimate long term financial plans. Every organization undertakes this process as a finance activity. However, when the forecasted data is examined on its effectiveness for decision making, more often than not the results are disappointing, and the rolling forecast process needs to be redefined. This paper talks about effective rolling forecasts that utilize resources, technologies, processes, and business intelligence to deliver actionable insights. A best-in-class matured RF process will enable CFOs to deliver great results through increased revenue and cost reductions, and create new benchmarks for the organization.
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
"Extracting value from data is central to the digital
transformation required for businesses to succeed
in the decades to come. Buried in data are insights
that reveals what your customers need and how
they want to receive it, how sales, manufacturing,
distribution, and other aspects of business operations
are functioning, what risks are arising to threaten
the business, and more. That insight empowers your
businesses to reach new customers, develop and
deliver new products, to operate more efficiently
and more effectively, and even to develop new
business models. "
The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
Increasingly sophisticated location technology makes it possible for data scientists to gain a deeper understanding of their target audiences – and how to reach them. Accurate and precise intelligence can give more timely and complete insights into audiences than ever before.
As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to buying location data for better audience segmentation.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
FRONTEO provides end-to-end project management, litigation consulting and eDiscovery
solutions for a global base of law firms and corporations. To meet clients’ critical
information needs, the business requires connectivity and data center solutions that can
process, access and interpret terabytes of sensitive data—reliably and at top speeds.
Get actionable insights from experts at FRONTEO and learn how switching to a
high-performance Ethernet solution from Spectrum Enterprise can deliver security
and reliability across your network and IT infrastructure.
Business leaders recognize that their industries and markets are either being disrupted or have the potential to be disrupted by nimble digital players. In order to compete, senior IT leaders need to modernize their data centers.
In this Forbes Insights Executive Briefing, learn how to embrace an agile data infrastructure, modern data protection, and intelligent operations to reap the benefits of a truly modernized data center.
Technology is a fast-moving target, and organizations need agility and flexibility to compete. By modernizing your data center and maximizing the value of your corporate data, your company can gain those qualities.
In this Forbes Insights checklist, learn how to derive value from your corporate data and embrace three elements of a modernized data center: an agile data infrastructure, a modern approach to data protection, and intelligent data center operations.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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