Did you know that by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated?
Read the Gartner report Technology Insight for Modern Analytics and Business Intelligence Platforms and find out how to meet the time-to-insight demands of today's competitive business environment. Learn how to:
• Determine when to use existing, traditional BI technologies versus modern analytics and BI
• Broaden data access beyond relational systems
• Adopt new approaches to data modeling
The ongoing adoption of cloud computing by communications service providers (CSPs)
continues to fundamentally reshape their business models and technology strategies on
several levels. One such area that is garnering significant attention is the impact of the
cloud on security services. This is because security services and the vital tools they
encompass can be empowered through the adoption of a carrier cloud model. This, in turn,
better positions CSPs to meet the demands of their customers, including those in the small
to medium-size business (SMB) market segment.
The timing of this migration is optimal, since many SMBs now recognize the threats they
face and realize that given their limited IT budgets and lack of security expertise, CSPs are
well positioned to protect them from cyberattacks.
While the opportunity for CSPs is significant, many are hesitant to make a move in this area
because they want to ensure they can address SMBs’ needs and maintain control of the
service in a car
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
Published By: Veritas
Published Date: Jan 03, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands.
You will learn:
The key trends that are driving change in the digital business
The most common causes of data loss in tomorrow’s multi-cloud data centers
How to protect an increasingly diverse environment with minimal operational overhead
Published By: Lookout
Published Date: Aug 28, 2017
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
A Scalable Data Center Network for the Data Tsunami Digital Transformation and other changes drive vast and innumerable new data flows through the business, and increase pressure on IT to continually, quickly, and efficiently address a broad array of new demands. IT needs a network that empowers the business but is too often hampered by it instead. Network management as most practice it now is too complex and inefficient. The solution is automation.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population.
Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as they do not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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