DataRobot Blog

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics IoT Internet of Things B2B 40

Corinium

JUNE 6, 2019

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. 2018: IoT and edge computing open up new opportunities for organizations. Microsoft starts to offer Azure IoT Central and IoT Edge. Google announces Cloud IoT. He puts forth a mobile-first, cloud-first strategy.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20