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2020’s AIOps Evolution

n this special guest feature, Will Cappelli, Moogsoft EMEA CTO, provides several trends we’ll see shape the way we use AIOps as 2020 unfolds. AIOps has transitioned from a nice-to-have to a need-to-have for combating the data deluge created by the IT complexity of running digital services and apps. As this trend continues, AI becomes more critical to overcoming the volume, variety and velocity of event data produced by this complexity, and to business viability itself.

Do Business Intelligence Providers Trust Domain Experts? It Certainly Doesn’t Seem Like It

n this special guest feature, Rob Woollen, CEO and Co-Founder of Sigma Computing, asks why rely solely on data analysts when you have a full team of experts that know their domain? Instead of simply sitting back and hoping for a eureka moment for your business, it’s time to level out the playing field for empowered data discovery — across all business teams.

Understanding Forecasting Methods in an AI World

In this special guest feature, Geoff Birnes, SVP of Customer Engagement at Atrium, discusses how the CRM space is being completely altered by the introduction of machine learning, data analytics and advanced AI. Traditionally, the world of CRM has been focused on data storage and minimal engagement, but now there is an opportunity to create full-scale systems of intelligence.

For Service Providers, Big (network) Data is the New “Oil”

In this special guest feature, Alex Pavlovic, Director, Product Marketing, Nokia Deepfield, discusses “Data is the new oil,” a phrase coined by The Economist, that has become the mantra for describing the platform-based economy driven by hyperscale players such as Google, Facebook, Amazon, Microsoft and Netflix. To reach their global audience, these webscale giants need the ubiquitous connectivity provided by service providers and their networks. These networks generate and store vast amounts of data on networks, infrastructure and services.

Lowering the Barrier to Entry for Cloud Computing is the Key to Scientific Discovery

In this special guest feature, Ivan Ravlich, Co-Founder and CEO of Hypernet Labs, points out how the cloud industry needs to offer more accessible options to scientists and researchers who need to process large amounts of data. Containerizing scientific applications is a major step forward.

AI Risks Losing Trust If It Does Not Offer Explanations

In this special guest feature, Ramprakash Ramamoorthy, Product Manager for AI and ML at Zoho Labs, discusses best practices for developing explainable AI and common pitfalls teams make when building AI tools. With investments in AI technology continuing to grow at a considerable pace, there is a gradual transition in the role that AI plays in the IT world. Presently, AI is not only a tool to automate processes, but it also automates decisions. However, a note of caution must be exercised in this regard.

How AI Unlocks Brand Value in Unstructured Data

n this special guest feature, Ido Ramati, Founder, COO & President at Revuze, discusses how unstructured data is being wasted by companies the world over. It is estimated 90 percent of an enterprise’s data is unstructured, living in emails, online reviews, or other untouched and ultimately useless formats. This data – defined as “unstructured” and growing at 55 to 65 percent each year – offers valuable customer insight if properly understood.

How Compliance Officers Can Get Some Much-Needed Rest

In this special guest feature, Peter Duthie, Co-CEO and Chief Architect for Ground Labs, discusses how to address data security at the c-suite level and why data discovery initiatives are the best way to combat security challenges and remain compliant.

Four Ways AI Can Positively Impact Pharmaceutical Development

In this special guest feature, Updesh Dosanjh, Practice Leader, Technology Solutions for IQVIA, discusses how AI is making its way into pharmacovigilance (the detection, collection, assessment, monitoring, and prevention of adverse effects with pharmaceutical products) platforms and improving efficiencies for pharma companies, in light of the continued growth and proliferation of available data.

Why Data Pipelines Desperately Need Orchestration

In this special guest feature, Sean Knapp, Founder and CEO of Ascend, discusses how automation can greatly reduce a data engineering team’s time spent in orchestration through the enablement of data-centric pipelines.