IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). The company will also shift investments toward using AI “as an outsourcing model” to free up human capital, Skinner adds.

IT 145

IT Insurance Machine Learning Marketing 145

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

CIO Business Intelligence

JUNE 7, 2022

In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3 billion in cost savings for the insurance industry as well during the same period. . Intel® Technologies Move Analytics Forward. billion globally over a five-year period, it gets noticed. An Industry Redefining Itself.

Unstructured Data 79

Unstructured Data Deep Learning Insurance Interactive 79

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

IBM Big Data Hub

APRIL 4, 2024

In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by USD 619.08 Private cloud combines the main benefits of cloud computing—chiefly on-demand access to computing resources (e.g.,

Data Processing 93

Data Processing Cost-Benefit Software Digital Transformation 93

CIO Business Intelligence

APRIL 15, 2024

The senior vice president and chief information and strategy officer at National Life Group, has spent years executing a technology roadmap to modernize the insurance company. Nimesh Mehta might not have millions of followers on social media, yet he still considers himself an influencer.

Digital Transformation 118

Digital Transformation Strategy Technology Enterprise 118

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 75

Data-driven Data Lake Data Warehouse Cost-Benefit 75

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. We talked about the benefits of outsourcing IoT and other data science obligations. However, the converse approach can also be useful.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

CIO Business Intelligence

NOVEMBER 2, 2023

It depends on what business model you’re in. If you’re in the business of data centers or perhaps have a heavy research and development arm, you might be able to do it more cheaply yourself,” says Ciena CIO Craig Williams, who admits this may be an outlier position. “We

Strategy 120

Strategy Data Processing Experimentation Optimization 120

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. DL, a subset of ML, excels at understanding context and generating human-like responses.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Cloudera

SEPTEMBER 15, 2022

Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores. Healthcare, where big data is used for improving profitability, conducting genomic research, improving patient experience, and to save lives.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

bridgei2i

JULY 8, 2020

And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. In the short run, this means they have to get their demand forecast right. Can we model the impact for such structural shocks?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Domino Data Lab

JUNE 2, 2019

If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”. We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Sisense

OCTOBER 29, 2020

AVs of the future will require different types of storage — and lots of it — to gather data from LiDAR, radar, cameras, and other sensors as well as in-vehicle infotainment, navigation systems, and maintenance data. What if this data is also used for open warrants? For insurance company premiums? Advertising?

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

Jet Global

AUGUST 27, 2021

Perhaps just as importantly, we designed Jet Reports and Jet Analytics to perform a full range of operational financial reporting tasks, as well as advanced analytical tasks. You don’t need to maintain a separate security model for your reports. We designed Jet Analytics for operational efficiency.

Reporting 98

Reporting Recreation/Entertainment Data Warehouse Dashboards 98

Jet Global

FEBRUARY 14, 2022

Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52