Smart Data Collective

NOVEMBER 1, 2020

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. k-means Clustering – Document clustering, Data mining. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics.

Data Mining 363

Data Mining Visualization Artificial Intelligence Digital 363

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

Data Warehouse 361

Data Warehouse Big Data Data Mining Business Intelligence 361

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Cloud Computing Healthcare Pharmaceutical 52

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every company has been generating data for a while now.

Documentation 81

Documentation Government Business Intelligence Business Intelligence 81

Sisense

APRIL 26, 2020

The middle tier is typically a relational data store with schemas that support analytical processing. The top tier is an analytics tier that includes everything from standard querying tools to analytics, data mining, AI or ML capabilities, reporting, and presentation visualization tools.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Actian

JULY 29, 2019

You need IT systems optimized for real-time transaction processing to serve as the engine for digitally transformed business processes. You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8