AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

Optimization 112

Optimization Statistics Metadata Data Lake 112

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. BI engineer. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

Smart Data Collective

JUNE 8, 2023

The Evolution of Data Collection in Football Traditionally, football relied on basic statistics such as goals, assists, and possession percentages to evaluate performance. Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

Smart Data Collective

NOVEMBER 3, 2021

2020 became the year when a lot of customers first experienced their remote interaction with banks and enjoyed it. It refers to underwriting, customer onboarding, document management, analysis, and statistics. All that is tightly connected with omnichannel interaction , where customers’ preferences are prioritized.

Software 121

Software Data-driven Interactive Insurance 121

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Rocket-Powered Data Science

JULY 19, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. These may not be high risk. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Smart Data Collective

MAY 8, 2022

From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace. Query approximation systems use statistical data sampling to predict the outcome of a query without running one. Identifying risks. Query Approximation systems and data summaries. Innovations.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Improving Risk Assessment. Improving Security. Better UI/UX based on A/B testing.

Big Data 129

Big Data ROI Measurement Risk 129

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

DECEMBER 4, 2023

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company.

Insurance 56

Insurance Digital Transformation Risk Management Interactive 56

IBM Big Data Hub

DECEMBER 18, 2023

These maps, graphs, statistics and cartograms display geographical features like location, natural resources, streets and buildings as well as demographics. Detailed visualizations enable organizations to monitor risks, anticipate potential issues and look for solutions.

Internet of Things 106

Internet of Things IoT Forecasting Visualization 106

Smart Data Collective

OCTOBER 31, 2022

By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns. To a certain extent, prices are partially based on the general public’s interactions and perception of the value of an asset. AI has significantly helped investors in this regard.

Finance 138

Finance Cost-Benefit Marketing Statistics 138

Smart Data Collective

NOVEMBER 29, 2021

AI helps businesses to minimize risks across every line of business. When considering investment income opportunities, banks need to compare multiple options and pick those that provide the best return at an acceptable risk. The above-mentioned regulatory risks—as well as reputational ones—often happen because of human error.

Cost-Benefit 111

Cost-Benefit Risk Finance Statistics 111

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Also, its emotional intelligence allows it to adapt communication to be empathetic and supportive, creating a more positive interaction for the customer.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Smarten

SEPTEMBER 28, 2022

Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. The cost of acquiring and interacting with customers can be expensive and each time a business loses a customer, it must spend money to replace the customer.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

NOVEMBER 25, 2021

College students are often believed to be least at risk, because they are more tech-savvy and presumably know how to stop data breaches. Since they use the Internet a lot more than their older peers, they might actually be at an even higher risk. First of all, let’s look into some statistics. What Research Shows.

Big Data 97

Big Data Risk Data-driven ROI 97

IBM Big Data Hub

MAY 1, 2023

The insurance business model itself is predicated on the use of mathematical and statistical methods to process personal and non-personal data to underwrite risks and price insurance policies, to quantify losses, to pay customers’ claims, and to identify and prevent insurance fraud.

Insurance 83

Insurance Predictive Modeling Cost-Benefit Statistics 83

BizAcuity

JULY 7, 2020

With limited seating and slot machine on the floor, casinos are ensuring that the risk of the spread of the virus is contained. Across all casinos that have opened in the United States, grand tournaments and special events have been limited and buffets have been kept closed so that human interaction can be restricted.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

CIO Business Intelligence

OCTOBER 13, 2023

It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models. According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. A product needs to balance the investment of resources against the risks of moving forward without a full understanding of the data landscape. Prototypes and Data Product MVPs.

Marketing 362

Marketing Experimentation Metrics Testing 362

Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Metadata 52

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. They also help security teams pinpoint vulnerabilites, improve overall incident response and reduce the risk of data breaches and financial losses from successful phishing attempts. million phishing sites. How do phishing simulations work?

Testing 80

Testing Measurement Behavioral Analytics Reporting 80

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. He leads product teams building wildfire prevention and risk mitigation data products. Steve Alexander is a Senior Manager, IT Products at PG&E.

Dashboards 75

Dashboards Statistics Data Collection Business Intelligence 75

IBM Big Data Hub

AUGUST 14, 2023

billion people in the global workforce, according to World Bank statistics. That varies across functions – 97% of executives think employees in procurement are more likely to be augmented than replaced, compared to 93% for employees in risk and compliance, 93% for finance, 77% for customer service and 73% for marketing.

IT 75

IT Consulting Data-driven Strategy 75

IBM Big Data Hub

JULY 10, 2023

Sidebands : The result of the modulation of the fundamental frequency by another frequency, as in the interaction between a bearing fault and the frequency of a rotating component. The most commonly used types of alarm thresholds are absolute thresholds, trending thresholds and statistical thresholds.

Optimization 59

Optimization IT Measurement Cost-Benefit 59

Smart Data Collective

JUNE 15, 2022

This information may be used to match a customer’s interests to the interaction your brand provides. This method entails examining patterns and connections uncovered when recording client interactions with your company at various touchpoints. This may include purchase history, customer habits, and other crucial data points.

Advertising 98

Advertising Cost-Benefit ROI Sales 98

IBM Big Data Hub

OCTOBER 9, 2023

This might include a reduction in the response time for processing claims or decreasing the red tape companies or contractors who regularly interact with governments experience. These statistics prove building a trustworthy foundation for AI is a top priority for the entire world.

Interactive 54

Interactive Technology Statistics Consulting 54

datapine

NOVEMBER 5, 2019

If you fail to do so, you risk damages in your productivity and costs. The vast majority of business dashboards offer a customizable interface, a host of interactive features, and empower the user to extract real-time data from a broad spectrum of sources. Interactivity. That kind of gamble is not the path of success.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Smart Data Collective

AUGUST 19, 2021

The statistics don’t lie either. You can also implement it in order to look at how your customers are interacting with your website too. AllStacks is a great one that can help provide predictive forecasting and risk analysis to any product that you’re working on through its software delivery. Image Source. Image Source.

Analytics 127

Analytics Cost-Benefit Software Testing 127

Ontotext

APRIL 3, 2024

Nimit Mehta : You are talking about the three big ones: cost, revenue, and risk. And, when you get to the top, it’s about risks and existential threats to the business. How do I make sure I can manage risk?” We are currently doing non-financial risk identification for a big Financial Services organization.

Technology 59

Technology Risk Digital Transformation Measurement 59

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. Recommendations can be presented through an interactive dashboard to facilitate understanding and enable stakeholders to make informed decisions.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

bridgei2i

JUNE 30, 2020

And the customers are avoiding the risk of exposure. Secondly, brands are also not able to engage with their customers in a meaningful way for various reasons, unavailability of assisted support channels, there’s no face-to-face interactions, the products are unavailable. Stat) in Statistics from the Indian Statistical Institute.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

BizAcuity

APRIL 28, 2019

By clubbing various techniques like data mining, machine learning, artificial intelligence and statistical modelling, it makes predictions about events in the future. An improvement of 50% in debt collection was seen in just 3 months time, that too without any loss on customer interaction. One such interesting case study is WNS.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

CIO Business Intelligence

MARCH 15, 2022

Synthetic data can fill in some of the gaps to create realistic, appropriate settings and objects for virtual environments, events, and interactions. Synthetic data that looks like real data but isn’t allows software to be tested across the full gamut of use cases without putting real data at risk. “If

Strategy 145

Strategy Testing Modeling Sales 145