Mike Leone, on Feb 26, 2020
As organizations look for better ways to integrate, analyze, visualize, and leverage insights from constantly growing data sets, the rise of the cloud has garnered significant interest and traction in the analytics space. The cloud offers numerous enterprise-class attributes that make it more appealing than on-premises environments for organizations, whether they are looking to embrace a data-driven culture or align specific technology to a single line of business.
Mike Leone, on Feb 24, 2020
Informatica, a leader in enterprise cloud data management, recently announced several enterprise data management enhancements across its unified, AI-powered Intelligent Data Platform to promote agility, efficiency, and productivity. Updates include next-generation analytics, an AI-powered data catalog, cloud and hybrid updates for AWS and MS Azure provisioning and autoscaling, data governance, privacy, 360 engagement, and a customer success portal.
While ransomware is not a new cyber-threat, largely entering the cybersecurity scene in 2016 and 2017 with a number of high-profile attacks, research conducted by ESG reveals that a majority of organizations continued to experience ransomware attacks in 2019, representing a concern for both business and IT leadership teams. The research further reveals the prominence of cybersecurity insurance policies, and the relationship between ransomware payouts and those companies that hold these policies. A subset of organizations with cybersecurity insurance report that their providers are advising, and possibly even pressuring, them to pay cyber ransoms, further fueling the success rates and the economy built around ransomware. This disturbing trend sets the stage for the continuance of ransomware, and an opportunity for criminals to exploit those organizations that have engaged with cybersecurity insurance companies.
Mike Leone, on Feb 19, 2020
Organizations are turning to AI technologies to enhance their data analytics capabilities and address the real-time needs of the business through faster, more accurate predictive insights. But between skills gaps, limited collaboration, and ineffective or minimally available tooling, organizations are looking for help. Cloudera has introduced Cloudera Machine Learning as the next evolution of their proven Cloudera Data Science Workbench to provide organizations with the help they need to achieve success in leapfrogging the competition using AI.
In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 658 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2019 IT spending as well as their 2020 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.
Survey participants represented a wide range of industries including manufacturing, financial services, healthcare, communications and media, retail, government, and business services.
Christophe Bertrand, on Feb 12, 2020
A chasm exists between traditional “dumb” data backup, in which data is only moved around but not leveraged to drive or support business outcomes, and data management, in which data is better understood and reused for other technical or business purposes. The data protection space is undergoing a fundamental shift from traditional backup and recovery with the emergence of more autonomous AI-based solutions.
In order to understand how this confluence of changes is creating a dichotomy between currently available solutions and end-users’ desired data protection state in the next few years, ESG surveyed 359 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization.
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