Cisco believes that it is critical for IT to be part of the data science team, and that integrated teams can make a business impact with data science.
Overcoming Unpredictable AI Data Pipelines
Data pipelines constantly change to accommodate new data sources. Unclear requirements and a dynamic environment are actually essential to development of artificial intelligence and machine learning for a competitive advantage.
Performance, Scale, and Flexibility for Accelerating AI / ML
Data Scientist charged with the responsibility of mining value out of numerous data sources, often feel that they need ever more speed to do their jobs quickly. To support them, IT teams are always looking for performance, scale, and flexibility.
Bridging the Gap between Data Scientists and IT
Cisco bridges the gap between data scientists and IT by working with artificial intelligence and machine learning help optimize data pipeline infrastructure.
Machine Learning is NOT Rocket Science (Part 2)
If machine learning boils down to data management and using the machine learning packages, what challenges are enterprise facing today that make use of that data?
Machine Learning is NOT Rocket Science: Part 1
Movies have often depicted artificial intelligence as a mysterious, far-in-the-future concept. But, if you have a smart phone in your pocket, you carry around this technology in your pocket. Machine learning has evolved away from fiction and complexity into every day, real-world applications that can be used in a wide array of business contexts.
More Data Refining Capacity Needed
If data is the new oil, more refining capacity is needed. Many customers are levering the data to be part of the core competitive advantage. However, refining that data to...
Refining Big Data with Deep Learning
If data is the new oil, there is one major difference. Unlike oil, which over the years have suffered from varying supply, for much of the customers, there is only...
Analytics is the New Source of Competitive Advantage
At Cisco Live Barcelona and the SAP BI + Analytics conference, we discussed numerous successful examples of IT working closely with business analysts to tackle new facts, data sources, and insights.