CIO Business Intelligence

MARCH 30, 2022

Disruption and uncertainties will keep going for the following years, and being agile and resilient needs to become part of t the manufacturer’s DNA. This comes with building up data analytic capabilities, but it’s not necessarily about having an army of data scientists. What is paramount here is agility and resiliency,” Ory said.

Manufacturing 52

Manufacturing Uncertainty Digital Transformation Predictive Analytics 52

Sisense

SEPTEMBER 9, 2019

We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Sisense

JULY 6, 2020

Analytics are essential in a crisis. Uncertainty often surfaces new opportunities as business leaders are forced to consider changes around key parts of the business. She has a strong track record of transforming product and marketing organizations and effectively defining and delivering the end-to-end product strategy and vision.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. These numbers show performance, efficiency, reach, market share, revenue in, and expenses out. Digging into quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

bridgei2i

JULY 8, 2020

And, in continuation of our conversations around the impact of COVID-19 on enterprises with thought leaders and industry experts, today we have with us Anand Ganesh – someone who brings in over two decades of experience in leadership positions across technology and consumer markets. Thank you for making the time, Ganesh.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 94

Uncertainty Manufacturing Data-driven Business Intelligence 94

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 94

Uncertainty Manufacturing Data-driven Business Intelligence 94

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Now, Google is spending what, 10 figures marketing TensorFlow? They would’ve said, “You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

FEBRUARY 14, 2023

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

Predictive Analytics 110

Predictive Analytics Management Analytics Risk 110

Smarten

JULY 18, 2022

By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

Jet Global

NOVEMBER 7, 2023

If any one word could encapsulate 2023, it would be “uncertainty.” They have invested in training existing employees over hiring additional people and in marketing existing hero products over developing new products.

Finance 52

Finance Uncertainty Reporting Marketing 52