The debate on machine learning vs. deep learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which machine learning (ML) algorithms learn is very […]
Data Science and AI Use Cases
A business use case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business […]
Data Strategy and Machine Learning: How Do They Intersect?
With the tremendous growth of business data in terms of volume, size, and complexity, it is imperative that global enterprises develop a strong Data Strategy to address their core business needs. However, a realistic Data Strategy has to incorporate a clear road map with milestones, so that strategy documents do not end up as digital […]
Implementing a Cloud Data Strategy
At a time when most major companies are showing a long-range commitment to “data-driven culture,” data is considered the most prized asset. An Enterprise Data Strategy, along with aligned technology and business goals, can significantly contribute to the core performance metrics of a business. The underlying principles of an Enterprise Data Strategy comprise a multi-step […]
Data Governance vs. Blockchain
Data Governance is the hot topic in today’s security- and privacy-concerned digital ecosystem. Blockchain technology offers data-centered security to sensitive, transactional systems that require tamper-resistant, fully auditable tracking mechanisms. Thus, blockchain and Data Governance (DG) complement each other in many ways, while maintaining distinct operational philosophies and application turfs. Blockchain is today’s preferred technology for […]
How is Bad Data Crippling Your Data Analytics?
Some striking evidence of the impact of bad data can be found in fake email IDs, impersonations on social media, or misuse of stolen financial or personal information. The more widespread harm can be caused by bad data in Data Analytics, where anything from the wrong medical diagnosis to incorrect interpretation of stock history can […]
IoT vs. Serverless Computing
The Internet of Things (IoT) describes an interconnected network of physical and digital devices, sensors, mechanical components, and communication protocols with the ability to transfer and exchange data machine-to-machine or machine-to-interactions. The serverless computing model is cloud-based and all its resources are managed by the service provider. The client is charged based on the consumption […]
The Digital Mesh: How is it Changing Enterprises?
Is this a science fiction movie? No, the digital mesh — the long-awaited gift of connected technologies — is here now. Advanced science and telecommunications technologies together triggered the latest technology disruption, enabling people, processes, and digital devices to engage in a way that is vital for the survival of modern businesses. Landmark Digital Disruption: […]
Data Governance in the Cloud
IT center, on-premise infrastructure is becoming increasingly complex and costly, and requires highly skilled manpower, so businesses are now moving their IT and Data Science functions to the cloud. Cloud computing promises low-cost storage facilities, 100 percent up-time, managed services, and automated analytics and BI services, leaving the businesses to concentrate on their domain expertise […]
Citizen Data Scientists: Where Do They Belong?
The phenomenal growth of data technology in recent years has led to the rise of the citizen data scientists (CDS). Developments in augmented analytics and artificial intelligence (AI) automation have now made it possible for ordinary business employees to conduct advanced analytics or business intelligence (BI) which would have required expert knowledge even some years […]