Smart Data Collective

AUGUST 6, 2020

Maritime cyber risk refers to a measure of the extent to which a technology asset could be threatened by a potential circumstance or event, which may result in shipping-related operational, safety or security failures as a consequence of information or systems being corrupted, lost or compromised.”. Invest in Malware Prevention.

Cybersecurity 300

Cybersecurity Monitoring Planning 300

Smart Data Collective

DECEMBER 16, 2021

Supply chain refers to the ecosystem of resources used in designing, manufacturing, and distributing a product. The supply chain is referred to because many items are procured from outside sources. . The market for security analytics will be worth over $25 billion by 2026. You can learn more about the benefits by reading below.

Supply Chain 349

Supply Chain Cybersecurity Logistics Procurement 349

Smart Data Collective

SEPTEMBER 30, 2021

While obtaining and processing data is a challenge, several start-up companies are developing tools that will not only quantify emissions but also help develop plans (based on data) on how to reduce emissions, such as through laying out more sustainable and informed decision making or through switching to viable renewable energy sources.

Artificial Intelligence 336

Artificial Intelligence Monitoring Big Data Planning 336

Smart Data Collective

SEPTEMBER 17, 2020

Established in 1996, HIPAA ensures that the confidential information of patients remains private. This is more important during the era of big data, since patient information is more vulnerable in a digital format. A server cluster refers to a group of servers that share information and data. Monitor Computer Usage.

Data Analytics 270

Data Analytics Data Analytics Big Data Cybersecurity 270

Smart Data Collective

MAY 7, 2023

Cyber risk refers to any potential threats that could compromise an organization’s digital products, from malicious actors or hackers to data breaches and phishing scams. Cyber risk refers to any potential threats that could compromise an organization’s security from malicious actors or hackers. What is cyber risk?

Digital Transformation 324

Digital Transformation Digital Cybersecurity Monitoring 324

Smart Data Collective

DECEMBER 18, 2020

They can monitor trends in the market and sell products that cater to evolving tastes. Validating label information with data mining. Data mining is very useful for finding new information on various products and resources. Big data makes it easier to provide compulsory information on labels.

Data Analytics 328

Data Analytics Data Analytics Big Data Data Mining 328

BA Coach

SEPTEMBER 22, 2020

The knowledge area Business Analysis Planning and Monitoring of the business analysis framework focuses on preparing and monitoring the execution of business analysis work. What is the Business Analysis Planning and Monitoring about? Business Analysis Planning and Monitoring. Plan Business Analysis Information Management.

Monitoring 98

Monitoring Business Analysis Business Analysis Planning 98

Smart Data Collective

AUGUST 18, 2021

Trullion can read and extract critical information from PDF contracts with top-notch accuracy rates in a few minutes only. This means you can go from financial entries on Excel straight to the original contract on Trullion for your immediate reference. The latter function helps you monitor any adjustments in your leasing portfolio.

Big Data 336

Big Data Artificial Intelligence Portfolio Management Visualization 336

Smart Data Collective

JUNE 16, 2022

Online Analytical Processing (OLAP) is a term that refers to the process of analyzing data online. Data is fed into an Analytical server (or OLAP cube), which calculates information ahead of time for later analysis. Several or more cubes are used to separate OLAP databases. Using a spreadsheet isn’t the best solution.

Data Warehouse 348

Data Warehouse Data Modelling Monitoring Business Intelligence 348

Smart Data Collective

OCTOBER 17, 2022

Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage. The source from which data enters the pipeline is called upstream while downstream refers to the final destination where the data will go. Monitoring.

Data Warehouse 363

Data Warehouse Big Data Procurement Data Visualization 363

Smart Data Collective

OCTOBER 28, 2020

What’s the best way to handle this information? This can apply to any of the major data management systems used in healthcare , from EHRs to medical imaging platforms and opioid use monitoring platforms. When data is no longer in active use, the best thing that healthcare systems can do it archive it. Why Keep Your Data?

Healthcare 342

Healthcare Cybersecurity Big Data Monitoring 342

Smart Data Collective

DECEMBER 15, 2022

Building access gadgets, badge readers, fuel usage and route monitors (for vehicle fleets), and apps that connect to the enterprise IT infrastructure create, among others, can be targeted by hackers to compromise not only the devices but the entire network. It aims to help buyers of IoT products make informed and better purchase decisions.

Cybersecurity 290

Cybersecurity Government Planning Data Security 290

Smart Data Collective

NOVEMBER 3, 2021

It refers to underwriting, customer onboarding, document management, analysis, and statistics. The relationship managers get access to relevant information about borrowers, too. Loan approval, as one of the biggest bottlenecks due to inconsistency of information between teams, may increase business risks.

Banking 345

Banking Digital Artificial Intelligence Documentation 345

Smart Data Collective

NOVEMBER 9, 2022

Another reason cybercriminals are gaining access to websites is because the companies and their employees are practicing what is referred to as poor cyber hygiene. Also, to help ensure that hackers will not be able to gain access to usable information, it is important to make sure that your company SSL certificates are current.

Cybersecurity 317

Cybersecurity Digital Innovation Monitoring 317

Smart Data Collective

NOVEMBER 1, 2020

Instead, we let the system discover information and outline the hidden structure that is invisible to our eye. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Unlike supervised ML, we do not manage the unsupervised model.

Data Mining 363

Data Mining Visualization Artificial Intelligence Digital 363

Smart Data Collective

AUGUST 26, 2021

But having access to weather-related information isn’t enough. Big data analytics refers to a combination of technologies used to derive actionable insights from massive amounts of data. Additionally, meteorologists can use data analytics to better monitor and predict the course of extreme weather events, such as cyclones and storms.

Data Analytics 334

Data Analytics Data Analytics Big Data Artificial Intelligence 334

Smart Data Collective

DECEMBER 22, 2021

These efficiency-boosting applications for business are what we refer to as “business apps”. These data-driven task management applications integrate with calendar and email apps, allowing employees to stay on track with their work schedules and be informed about the tasks and sub-tasks that other team members are working on.

Big Data 309

Big Data Supply Chain Documentation Project Management 309

Smart Data Collective

MAY 4, 2023

It refers to datasets too large for normal statistical methods. However, the process of data gathering can be complex and challenging, especially when dealing with large volumes of information. However, gathering data can be a complex and challenging process, especially when dealing with large volumes of information.

Big Data 274

Big Data Data Mining Banking Digital 274

Smart Data Collective

AUGUST 5, 2020

Additionally, you will get informed in detail concerning the following issues: How AI is being used in judicial systems in the US and China nowadays; Can AI ever make the right decisions and release fair verdicts; Whether it is real that AI will once replace human judges in courts. The last helps to manage post-arrest cases. one more time.

Monitoring 339

Monitoring Government Big Data Innovation 339

Smart Data Collective

FEBRUARY 23, 2023

For example, Tesla powerwall can collect data from their solar panels to monitor the production and consumption of electricity in real time. For example, energy companies can track energy usage and identify areas where efficiency can be improved.

Big Data 298

Big Data Real-time Data Monitoring Innovation 298

Smart Data Collective

APRIL 30, 2022

The following is a list of the most significant ones you may take advantage of: Accessibility : It refers to the tool’s ability to operate 24 hours a day, 7 days a week, from any device, providing your company’s maximum productivity and continuity. Data Storage : Data is stored to the cloud on a regular basis to avoid data loss.

Monitoring 306

Monitoring Big Data Data Security Finance 306

Smart Data Collective

SEPTEMBER 19, 2022

Many organizations join hands with attack surface mapping and monitoring specialists to quantify their risk and introduce remedial steps to protect against breaches. From malware and social engineering to resources specifically created to masquerade as your organization to harvest credentials and other sensitive information.

Digital 298

Digital Cybersecurity Monitoring Innovation 298

Smart Data Collective

JULY 4, 2023

Project monitoring and management: knowing the effectiveness of the restoration process helps understand the impact of their efforts. AI technology makes it easier to monitor the progress of various projects and provides meaningful insights to manage them more effectively. It makes this information digitally accessible across devices.

Artificial Intelligence 244

Artificial Intelligence Documentation Project Management Monitoring 244

Smart Data Collective

MARCH 23, 2022

For instance, it is the same case with Amazon when they recommend related products, so the term “ basket” refers to what shoppers use the most when shopping. It continuously monitors content published on social media platforms, on the web, on a specific product, and more. Furthermore, text mining is done through surveys.

Data Mining 334

Data Mining Monitoring Big Data 334

Analysts Corner

OCTOBER 31, 2023

Banking sector : integrating credit information, accounts, and financial transactions. Management : monitoring transactional data from business operations to generate indicators at various levels. A database and a knowledge base are two distinct things, even though both are used to store information.

Artificial Intelligence 246

Artificial Intelligence Monitoring Banking Healthcare 246

Smart Data Collective

MAY 10, 2022

Artificial intelligence refers to intelligence demonstrated by machines instead of the natural intelligence displayed by humans. Backtesting refers to testing trading models based on historical data. They can also monitor a driver’s behavior and performance to determine accident risk. billion in 2020.

Artificial Intelligence 321

Artificial Intelligence Cybersecurity Banking Retail 321

Insight Software

DECEMBER 21, 2020

To do so, it is critically important to have strong reporting and monitoring tools and procedures in place to ensure that you do not cross pre-defined thresholds and that you can take quick action if and when you have to cross them. Some people refer to sector concentration risk as “industry concentration risk.”

Monitoring 98

Monitoring Supply Chain Retail Finance 98

Smart Data Collective

DECEMBER 19, 2022

A cloud-based medical billing software program automates billing in order to help practices get paid faster, improve workflow efficiencies, help practice the IT solution for healthcare and keep patient information up-to-date. As soon as the billers receive the necessary information, they prepare a claim for the insurance company.

Healthcare 328

Healthcare Cloud Computing Documentation Digital 328

Smart Data Collective

AUGUST 14, 2019

While most of the information is stored in hard copy form, the current trend is toward holistic digitization. The rise of AI-powered chatbots , virtual assistants, and the Internet of Things (IoT) are driving data complexity, new forms and sources of information. “ Big data analytics: solutions to the industry challenges. Conclusion.

Healthcare 252

Healthcare Big Data Data Analytics Data Analytics 252

Smart Data Collective

NOVEMBER 23, 2022

Automated mobile app testing refers to the evaluation process that mobile app developers should run through for each application that they develop to ensure the mobile apps perform correctly before publishing. They are able to accomplish this process with the use of advanced machine learning algorithms. What Is Automated Mobile App Testing?

Artificial Intelligence 340

Artificial Intelligence User Experience Planning Monitoring 340

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Reference data management. Staff members can access and upload various forms of content, and management can share information across the company through news feeds.

Data Management 244

Data Management Data Warehouse Master Data Management Digital Transformation 244

Smart Data Collective

JANUARY 25, 2022

Having an updated record of devices and their users can help to deploy security measures and make monitoring them for possible data breaches easier. Multi-factor authentication will help to authenticate users more securely to ensure that no compromised user can get reach critical information or the company’s network.

Data Security 321

Data Security Cybersecurity Big Data Monitoring 321

Smart Data Collective

JUNE 5, 2021

However, if your page contains phrases like ‘mustang diet,’ ‘wild mustangs,’ mustang breeding,’ or ‘mustang adoption,’ Google will determine that you’re most likely referring to the horse. Informational intent that generally works on a broader scale for queries like ‘how does silly string work?’.

Artificial Intelligence 345

Artificial Intelligence Digital Monitoring Data Analytics 345

Monday

AUGUST 16, 2021

First, a definition: A business dashboard is generally a visual display of “at-a-glance” information about teams or the overall organization. Dashboards usually show high-level information like Key Performance Indicators (KPIs) or other specific objectives or business processes. The analogy we like to use is that of a car dashboard.

Visualization 98

Visualization Monitoring Planning Project Management 98

Smart Data Collective

DECEMBER 6, 2022

It is frequently referred to as “white box testing.” Thus, it is impossible for those dependencies to be monitored manually. If this information is leaked, anybody can access the sensitive payment data and withdraw or view it. An application is analyzed by SAST prior to having its code built.

Cybersecurity 317

Cybersecurity Supply Chain Artificial Intelligence Monitoring 317

Analysts Corner

JANUARY 29, 2023

It formulates sentences better than most humans, and certainly has a much greater base of information than any of us could retain in memory. Conclusion: Summarize the main points of the interview and thank the expert for the time and information shared. It looks like something out of a science fiction movie.

Artificial Intelligence 241

Artificial Intelligence Healthcare Finance Business Analysis 241

Smart Data Collective

MAY 29, 2023

Understanding Bias in AI Translation Bias in AI translation refers to the distortion or favoritism present in the output results of machine translation systems. When annotators train data with biased information, the model learns and replicates these biases, resulting in inaccurate translations and reinforcing discriminatory narratives.

Artificial Intelligence 240

Artificial Intelligence Documentation Data Modelling Monitoring 240