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

CIO Business Intelligence

FEBRUARY 13, 2023

In one use case, AR and VR are being used to re-create people’s spines in a model so that surgeons can look at them in advance of surgeries to help them perform better, says Peter Fleischut, group senior vice president and chief information and transformation officer. It’s all about uptime and input.

IT 145

IT Insurance Machine Learning Marketing 145

IBM Big Data Hub

MARCH 28, 2024

According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services market is forecast to grow to USD 405.30 A multicloud setting helps clients avoid vendor lock-in and allows them to run the most optimal computing environment for each workload. billion by 2033, up from USD 92.64

Enterprise 100

Enterprise Cost-Benefit Data Processing Software 100

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. As with any cloud model, the notion of shared responsibility is key.

Cost-Benefit 135

Cost-Benefit Metrics Insurance Measurement 135

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

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

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. Objectives and Usage.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Cloudera

JULY 20, 2021

An example from retail: higher fidelity demand forecasting in a large leading global grocery retailer produced a 5% to 7% increase in sales by minimizing out-of-stocks and a 30% to 50% reduction of average out-of-stocks in stores – that’s millions of dollars for most retailers. GDP forecasts keep rising and falling.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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 A private cloud can optimize performance by isolating workloads on dedicated servers.

Data Processing 93

Data Processing Cost-Benefit Software Digital Transformation 93

CIO Business Intelligence

NOVEMBER 2, 2023

“Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend. It depends on what business model you’re in.

Strategy 121

Strategy Data Processing Experimentation Optimization 121

Smarten

MAY 17, 2019

Assisted predictive modeling and advanced analytics incorporates data from social media, email marketing campaigns, Google analytics, apps and web sites, ecommerce channels, sales data and more to analyze products, pricing, customer geography, preferences, demographics and other data. Marketing Optimization. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

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. billion by 2030.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

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. . billion globally over a five-year period, it gets noticed. The same study estimated that chatbots would lead to $1.3 An Industry Redefining Itself.

Unstructured Data 80

Unstructured Data Deep Learning Insurance Interactive 80

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. 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.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. in concert with Microsoft’s AI-optimized Azure platform. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 129

Risk Manufacturing Enterprise Technology 129

Jet Global

DECEMBER 22, 2021

The latter is responsible for forecasting sales, then maximizing revenue and margins; the former must see to it that the supply chain operates as efficiently as possible. Instead of developing forecasts that focus solely on demand, the company might look at the bigger picture. Sales Forecasting. Access Resource. Demand Planning.

Sales 97

Sales Forecasting Recreation/Entertainment Finance 97

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. Foundry / CIO.com In addition to optimization and innovation work, cyber security remains a top concern.

Digital Transformation 119

Digital Transformation Strategy Technology Enterprise 119

bridgei2i

FEBRUARY 21, 2019

In the journey of enterprises, digital transformation encompasses customer experience, improving operational efficiency and monetizing data for newer digital business models. BRIDGEi2i worked with India’s largest lending company that deals with wealth management and insurance.

Digital Transformation 66

Digital Transformation Analytics Sales KPI 66

Sisense

FEBRUARY 18, 2021

Data scientists have developed multiple predictive analytics models, each tailored to different functions: Forecast models use multiple input types to estimate future outcomes: how long an engine component will last, how many in-store customers to expect on a given day, how much of an item you should keep in inventory, etc.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

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

Smart Data Collective

NOVEMBER 12, 2021

Big data has helped companies identify promising cost-saving measures, recruit the best talent, optimize their marketing strategies and realize many other benefits. You should use big data to improve your outsourcing models by data mining pools of talented employees. Data-Driven Businesses Are Shifting More Towards Outsourcing Models.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

Jet Global

JUNE 2, 2020

Here are some important things to consider when it comes to purchase decisions this year: Optimize Your Inventory. Insurance costs, excise taxes, warehouse costs, and inventory shrinkage all affect the bottom line. For years, tech-savvy companies have understood the value of investing in inventory optimization tools.

Forecasting 52

Forecasting Optimization Insurance Data-driven 52

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. This optimization results in cost savings and improved resource utilization, ultimately benefiting both the organization and the patients under their care.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Jet Global

APRIL 29, 2021

It calls for a fixed annual budget with rigid forecasts and sales targets, well-defined capital investment and cash flow plans, and very little variation. As we re-examine and reinvent those processes, the need for more effective financial forecasting methods and financial forecasting tools is clearer than ever.

Forecasting 52

Forecasting Recreation/Entertainment Finance Software 52

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. A former CIO100 India winner, Bari has also previously held leadership roles at Max Life Insurance, HT Media, and SBI Card. Gururaj Rao moves to Aditya Birla Health Insurance. December 2021.

Internet Publishing and Broadcasting 97

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 97

Jet Global

FEBRUARY 15, 2022

Unfortunately, traditional models for financial planning and budgeting are increasingly strained as businesses strive to cope with change. DBB then builds a budgetary model in which those variables are directly tied to the physical resources and activities needed to achieve the company‘s targets. That inevitably takes time.

Recreation/Entertainment 98

Recreation/Entertainment Finance Software Reporting 98

bridgei2i

JUNE 30, 2020

The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. I would say lastly, with the spread of this pandemic, companies are witnessing unavailability of the workforce and even those who have switched to remote working models, they are also facing the challenge. Thank you, Suvodip.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

Jet Global

SEPTEMBER 24, 2021

For many businesses, the idea of financial forecasting or planning based on last year’s numbers seems far less advisable than it was in the past. Fortunately, there are some powerful tools available to make financial planning, forecasting, and budgeting processes significantly easier than they once were. Finance Plays a Pivotal Role.

Finance 52

Finance Forecasting Recreation/Entertainment Sales 52

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Forecasting (e.g. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

Jet Global

MARCH 4, 2024

1 January 1, 2025 Companies, banks, and insurance under NFRD have to report the first set of Sustainability Reporting standards for the financial year 2024. Phase Effective Date Scope Reporting Requirement Deadline 1 January 1, 2024 Companies subject to the NFRD, including large non-EU companies (>500 employees) listed in the EU.

Reporting 52

Reporting Management Cost-Benefit Enterprise 52

Jet Global

DECEMBER 13, 2021

Directors and officers (D&O) insurance carriers are now also adjusting their premiums and policy terms to account for these increased risks in using SPACs.?Such With Certent EM, there are no broker “lock-in” restrictions, but instead flexible service models, and easy integration with other applications, including payroll.

Management 52

Management Recreation/Entertainment Reporting Insurance 52

Jet Global

FEBRUARY 14, 2022

It means that corporate tax teams require access to professionals with experience of both technology and tax, who can optimize software, improve processes and collaborate with the wider finance team as well as decision makers. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

Jet Global

JUNE 24, 2021

KPIs must be utilized to identify opportunities for maximization and optimization. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program. Non-profit KPIs should be acted on. After examining the metrics, it is time to make affirmative decisions.

Metrics 98

Metrics Reporting KPI Measurement 98

Jet Global

SEPTEMBER 24, 2021

It is optimal to have the highest equity possible, and negative equity is a cause of concern. At the core of equity portfolio management lies the need to build a portfolio model. After building a portfolio model, the manager will be able to calculate returns and evaluations. Liabilities.

Management 52

Management Software Recreation/Entertainment Reporting 52

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. Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52