Using Data Exploration to Accelerate Traditional and Data Science Analytics Processes

Modern analytics processes are less about creating dashboards and more about asking “why” questions. Business users and analysts need the ability to dig deeper to answer these questions—to get beyond dashboards and into the wealth of data organizations hold. View this TDWI webinar to learn how data exploration can speed time to insight. During this webinar, TDWI and Datameer will discuss: The role of visual data exploration in analytics cycles and where it can help streamline processes.
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Gartner Magic Quadrant for Cloud Financial Planning and Analysis Solutions

Financial Planning and Analysis (FP&A) solutions support the office of finance’s efforts to manage financial planning and budgeting as well as financial modeling and performance reporting. Application leaders should use this Magic Quadrant to identify vendors that are a good match for their business needs. This report highlights
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Application Optimized Infrastructure Using SD-WAN

ONUG

Delivery of applications with the best user experience is the mission of any IT organization. While Multi-Cloud and SaaS make it possible to distribute applications closer to the users, the challenge shifts to the network to securely provide the optimal path that meets SLA requirements.Adobe’s strategy is to automatically optimize distributed web applications that are critical to business operations based on how traffic should be steered for each branch according to the SLA for each specific application.
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Is the AI revolution empowering the scientist?

Artificial intelligence (AI) and machine learning (ML) continues to develop how we discover and overcome challenges in drug discovery and suggests a promise to transform the path to clinic. These functionalities have the capability to expedite timelines, explore areas of drug space not previously attainable, and in turn, have the potential to reduce costs of progressing a drug through early discovery. Has this idea delivered on its hype? Join us to hear perspectives from AI thought leaders and drug hunters on how AI is actually delivering, and its potential to transform the way we navigate drug discovery.
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How to Operationalize Machine Learning Projects

Machine Learning (ML) can empower a business and optimize its performance. However, according to Gartner, 85% of data science and machine learning projects fail. These projects aren’t delivering value because companies lack technical skills and have recurring issues with data infrastructure, deployment, and operationalization.
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