Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Learning 347

Learning Predictive Analytics Algorithm Benchmarking 347

Elegant BI

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 52

Predictive Analytics Algorithm Advantage Advantage 52

CIO

JANUARY 19, 2024

Cost: $330 Location: Online Duration: 90 minutes Expiration: Valid for two years Data Science Council of America (DASCA) Senior Data Scientist (SDS) The Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification program is designed for professionals with five or more years of experience in research and analytics.

Knowledge 793

Knowledge Data Mining Predictive Analytics Learning 793

Smart Data Collective

DECEMBER 9, 2020

Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. The goal is to develop predictive analytics models that will be able to recommend changes to prevent such accidents from occurring in the first place.

Learning 353

Learning Algorithm Predictive Analytics Education 353

Smart Data Collective

NOVEMBER 25, 2020

The AI Research and Advisory Company has addressed the biggest benefits , a couple of them are listed below. Although these machine learning algorithms are still in their infancy, they have proven to be highly effective so far. Are these machine learning algorithms going to prove to be even more important during and after the pandemic?

Learning 361

Learning Algorithm Predictive Analytics Capital 361

Smart Data Collective

MARCH 2, 2023

Companies which require immediate business funding are using data analytics tools to research and better understand their options. As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Many different factors influence demand for any product.

Data Mining 203

Data Mining Business Predictive Analytics Loss 203

Smart Data Collective

OCTOBER 31, 2021

The good news is that highly advanced predictive analytics and other data analytics algorithms can assist with all of these aspects of the design process. Selecting a segment with analytics. The good news is that analytics technology is very helpful here. Analytics technology can help in a number of ways.

Commerce 270

Commerce Data Mining Predictive Analytics Capital 270

Smart Data Collective

JULY 9, 2023

Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends. Predictive Analytics for Conversion Rate Forecasting Predicting Customer Behavior with Historical Data You can predict customer behavior and adjust your strategies by analyzing historical data and identifying patterns.

Commerce 184

Commerce Benchmarking Predictive Analytics Algorithm 184

IBI

DECEMBER 22, 2022

Deep learning is a subdiscipline of machine learning (ML) that uses algorithms in a metaphorical adaptation of our understanding of human neurons. Deep learning can be vital in providing transformational business benefits: Predictive Analytics. Medical Research. Deep Learning 101. How does deep learning help enterprises?

Learning 109

Learning Information Predictive Analytics Pharmaceutical 109

Smart Data Collective

AUGUST 21, 2022

Artificial intelligence technology has become instrumental to the research and development process. In May, the White House actually unveiled a proposal to increase investments in research and development for AI projects. Most of the discussion focuses on using AI to come up with the initial idea and automate the research process.

Security 213

Security Security Predictive Analytics Research 213

Smart Data Collective

JANUARY 27, 2022

A team of researchers from the University of Wisconsin discussed this in their study Big Data Application in Biomedical Research and Health Care: A Literature Review. They can also use data analytics to conduct better research when conceptualizing their designs. Genetic Engineer. Robotic Engineer. Big Data Analyst.

Entertainment 318

Entertainment Predictive Analytics Research Technology 318

ATTEST

NOVEMBER 15, 2022

There are many market research companies out there, but sometimes you just want to work with someone who’s close to home or simply knows the area in which you’re looking to expand. From online surveys to consultancy services, these firms are fifteen different top market research companies for you to pick from.

Market Research 52

Market Research Marketing Research Research Marketing 52

Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data Mining is an important research process. Data mining is an automated data search based on the analysis of huge amounts of information. Where to Use Data Science? Where to Use Data Mining? Six Steps Towards a Data Scientist.

Data Mining 357

Data Mining Analysis Predictive Analytics Data Analysis 357

Smart Data Collective

JULY 1, 2019

Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research. Big data is rewriting the playbook for the criminal justice system.

Predictive Analytics 199

Predictive Analytics Algorithm Profiling Data Analysis 199

Smart Data Collective

SEPTEMBER 15, 2019

Choosing a niche with big data and predictive analytics. To successfully find your niche, do market research. You can use big data and predictive analytics to gauge trends in the music industry and see what will be popular in the future. This is the biggest way that big data can help. 4) Get industry knowledge.

Predictive Analytics 197

Predictive Analytics Knowledge Finance Algorithm 197

SCIP

MARCH 27, 2024

Historically, this process relied heavily on manual research, data collection, and analysis. By leveraging advanced algorithms and machine learning techniques, AI can sift through vast amounts of data from diverse sources, uncovering patterns, trends, and actionable insights that may have been overlooked using manual methods.

Competitive Intelligence 40

Competitive Intelligence Competitive SCIP Intelligence 40

Smart Data Collective

JUNE 3, 2021

Law firms can now use algorithms that provide specific predictions on how the case could work out. And they research until they find the best one. Big data has proved to be efficient in the legal industry, assuring that the time lawyers need to finish research is significantly decreased. Comparing Lawyers.

Predictive Analytics 216

Predictive Analytics Travel Algorithm Technology 216

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. Keyword research is an essential part of SEO, which is crucial for any dropshipping business.

Data Mining 335

Data Mining Knowledge Algorithm Retail 335

Smart Data Collective

SEPTEMBER 13, 2021

It is crucial to research the field before you use big data implementation. However, some investors do not have the tools for researching the impact of factors, such as commodity prices, currency fluctuations, economic changes, and many more, on how an investment can meet KPIs. Main Types of Big Data.

Predictive Analytics 268

Predictive Analytics Advantage Advantage Algorithm 268

Smart Data Collective

JULY 28, 2019

They said that one of the biggest ways big data enters the equation is by helping predict divorce rates. They relied heavily on research from major dating sites like eHarmony.

Advantage 201

Advantage Advantage Retail Predictive Analytics 201

Smart Data Collective

JULY 22, 2019

A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. Cyberattacks are becoming more prevalent these days. Social engineering is used in many online scams.

Predictive Analytics 174

Predictive Analytics Banking Intelligence Intelligence 174

Smart Data Collective

FEBRUARY 4, 2021

You can research goals that other marketers have used with data mining tools and build your own strategies around them. Research has shown that the behavior of online users has been impacted by the pandemic and your message is more important now than it has ever been before. You can use big data to help identify your objectives.

Marketing 209

Marketing Marketing Data Mining Predictive Analytics 209

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products.

Commerce 286

Commerce Startups Banking Advantage 286

CIO

APRIL 15, 2022

Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives. Here are a handful of high-profile analytics and AI blunders from the past decade to illustrate what can go wrong.

Algorithm 909

Algorithm Hospitals Retail Learning 909

Elegant BI

JUNE 8, 2022

According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. What follows is a short list of sample use cases that leverage predictive analytics. If that’s the case, there must be something to this trend, right?

Predictive Analytics 52

Predictive Analytics Hospitals Travel Market Segmentation 52

Smart Data Collective

APRIL 22, 2020

Whether to help us mount a defense, adjust our personal habits or anticipate where the disease will take the heaviest toll, each of the following risk factors plays a role in analytical models : Age, location and socioeconomic status. Social and hygiene habits. Pre-existing medical conditions. Number and frequency of interactions with others.

Hospitals 277

Hospitals Knowledge Research Algorithm 277

IBI

DECEMBER 22, 2020

If local, state, and federal governments invested in AI-driven big data analytics platforms, these tools could apply machine logic and predictive analytics to spot fraudulent tax returns and increase revenues. Homeland Security is using big data analytics for government in ways that improve communication across jurisdictions.

Predictive Analytics 98

Predictive Analytics Loss Algorithm Security 98

bazaarvoice

JANUARY 17, 2022

Another survey of marketing leaders found the primary AI applications also aligned with marketing goals: Content personalization Predictive analytics for customer insights Targeting decisions. Conversational AI is instrumental in capturing and guiding customers during the research and discovery stage.

Commerce 72

Commerce Innovation Marketing Marketing 72

Smart Data Collective

DECEMBER 22, 2021

Research on the best possible data-driven software applications for your company. For example, a construction business can utilize project management software with sophisticated AI and data analytics algorithms to help lower the risk of construction projects going awry.

Startups 339

Startups Advantage Advantage Competitive 339

Datapine Blog

OCTOBER 21, 2020

These analyses allowed the researchers to see relevant patterns in admission rates. Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. has made a major leap with 94% of hospitals adopting EHRs according to this HITECH research, but the EU still lags behind.

Hospitals 145

Hospitals Predictive Analytics Data Analysis Analysis 145

Smart Data Collective

MAY 11, 2023

Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions. Banks that take immediate action based on their data analytics fraud scoring algorithms, such as blocking irregular transactions, can prevent fraud before it happens.

Data Mining 245

Data Mining Banking Competitive Landscape Predictive Analytics 245

Zoominfo

MAY 14, 2020

Predictive intelligence falls under the artificial intelligence umbrella. It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. When applied to sales and marketing, predictive analytics forecasts companies most likely to buy or take future action relevant to your business.

Intelligence 162

Intelligence Intelligence Predictive Analytics Profiling 162

Smart Data Collective

JANUARY 14, 2021

A research project from Israel is helping solve the problem of overwhelming email messages by using big data algorithms to sort through email content more effectively. Mark Last, a professor with Ben Gurion University worked with his colleagues to develop some big data algorithms to summarize text more efficiently.

Algorithm 255

Algorithm Predictive Analytics Loss Technology 255

Smart Data Collective

DECEMBER 15, 2020

If you want to increase the chance of you seeing returns, try using these five data analytics applications to outperform the market. Do your research with analytics tools. Understand the risk with predictive analytics risk scoring algorithms. You should also use predictive analytics for risk management.

Loss 163

Loss Predictive Analytics Sports Algorithm 163

Alpha Sense BI

APRIL 26, 2024

With the right competitor monitoring tool in place, you can automate and systematize your research while leveraging advanced analytics capabilities to gain deep, actionable insights. It’s beneficial for strategy and market research teams and for sales and marketing departments that require deep insights and scaled competitor tracking.

Battlecard 52

Battlecard Startups Competitor Analysis Competitive Intelligence 52

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 269

Predictive Analytics Management Loss Finance 269

Smart Data Collective

DECEMBER 19, 2019

As per a recent research report, “ hackers can make up to £279.74 AI algorithm learns from data pool – we already know that. Lack of understanding the algorithm limitations. Excessive dependence on a single AI algorithm. Identifying malicious activities and threats much before using advanced predictive analytics.

Algorithm 152

Algorithm Security Security Human Resources 152