Smart Data Collective

JULY 16, 2023

When it comes to predicting future price movements in the market, technical analysis emerges as the most powerful weapon at our disposal. Technical analysis is a calculated science based on historical and real data, not some hocus-pocus or game of chance. Charts, indicators, and oscillators are just a few of the many tools available.

Analysis 185

Analysis Algorithm Data Analysis Innovation 185

CIO

FEBRUARY 10, 2023

Its flagship tool, Pipe Sleuth, uses an advanced, deep learning neural network model to do image analysis of small diameter sewer pipes, classify them, and then create a condition assessment report. Clustering algorithms, for example, are well suited for customer segmentation, community detection, and other social-related tasks.

Predictive Analytics 895

Predictive Analytics Hospitals Algorithm Pharmaceutical 895

CIO

OCTOBER 13, 2023

AI researchers help develop new models and algorithms that will improve the efficiency of generative AI tools and systems, improve current AI tools, and identify opportunities for how AI can be used to improve processes or achieve business needs.

Algorithm 899

Algorithm Knowledge Research Learning 899

CIO

MARCH 18, 2024

is at the forefront of cybersecurity, specializing in real-time detection, analysis, and mitigation of cyber threats. Its advanced machine learning algorithms and expert analysis help organizations detect, identify, and respond to cyber threats. About ThreatHunter.ai ThreatHunter.ai

Algorithm 693

Algorithm Analysis Security Security 693

CIO

FEBRUARY 28, 2024

Plus, a public registry of algorithms and an external advisory board to prepare algorithmic impact studies was launched. It also includes the set of applications derived through the CityOS platform, the main municipal data repository.

Algorithm 586

Algorithm Innovation Analysis Capital 586

Smart Data Collective

MAY 1, 2022

Businesses are including more of it in their companies and adopting methods like AI text analysis. . What is text analysis? This is where text analysis comes into the picture. Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text.

Analysis 283

Analysis Data Analysis Intelligence Intelligence 283

Smart Data Collective

OCTOBER 4, 2021

Utilizing conversational analysis can reveal which business locations are excelling and which aren’t, which advertisements connect with customers, and what they think of new products. Conversational analysis can reveal what matters most to your customers and what influences their decisions most. What is Conversational Analysis?

Analysis 276

Analysis Restaurants Algorithm Data Analysis 276

Aqute Intelligence

JULY 12, 2023

In such a contentious, aggressive environment, conducting an efficient competitor analysis is extremely important. It lets you see what customers are saying about a business and how they’re ranked via a custom algorithm. Software companies can use many tools and services to gather competitive intelligence.

Analysis 130

Analysis Competitive Competitor Analysis Competitive Intelligence 130

SpyFu

MAY 1, 2023

To discover, categorize, and rank the billions of websites that make up the internet, search engines employ sophisticated algorithms that make decisions on the quality and relevancy of any page. These decisions are guided by an algorithm. Understanding how an algorithm works helps you create content that ranks better for each platform.

Algorithm 111

Algorithm Sports Knowledge Information 111

Smart Data Collective

SEPTEMBER 17, 2020

Would your business benefit from the use of data analysis? What is Data Analysis? The term data analysis refers to the recovery of useful information from data. How is Data Analysis Undertaken? Why Should You Use Data Analysis? All of these details and more can be determined through simple data analysis.

Data Analysis 236

Data Analysis Analysis Algorithm Win 236

CIO

AUGUST 10, 2023

We have nesting algorithms to help with that. AI and sophisticated numerical analysis algorithms are used to minimize material waste, which adds up to big money when large volumes are involved. Computer aided design (CAD) tools, which are often used to model the irregular shapes, can feed the models to the nesting algorithms.

Business 576

Business IT Algorithm Sales 576

CIO

JANUARY 13, 2023

Empty shelves cost US retailers $82 billion in missed sales in 2021 alone, according to an analysis from NielsenIQ. As it learns, the algorithm can optimize how and what products are shown for accuracy, relevance, and the likelihood of making a sale, Google said, adding that the capability can be used on different pages within a website.

Commerce 781

Commerce Retail Algorithm Learning 781

CIO

APRIL 12, 2024

Torch enables fast and efficient GPU support, focusing on improving flexibility and speed when building complex algorithms. Computer vision skills are important for helping AI systems with image classification, object detection and recognition, 3D reconstructions, biometric data collection, and motion tracking and analysis.

IT 780

IT Research Algorithm Gaming 780

CIO

JUNE 13, 2023

Main constituents: Companies that control access to large blocks of data that can be useful to automated analysis. On one, privacy advocates are building clever algorithms that reveal just enough information to pass through whatever identity check while keeping everything else about a person secret. See here and here , for instance.)

Innovation 872

Innovation IT Airline Algorithm 872

CIO

OCTOBER 6, 2022

In manufacturing, finite element analysis, computer vision, electronic design automation and computer-aided design are facilitated by AI and HPC to speed product development, while analysis generated from Internet-of-Things (IoT) data can streamline supply chains, enhance predictive maintenance regimes and automate manufacturing processes.

Innovation 595

Innovation Profiling Algorithm Finance 595

CIO

MARCH 26, 2024

The solution has been upgraded based on cloud-map algorithms and digital twins. With the large-scale parallel algorithms, the data recovery speed reaches 172 TB/hour, five times higher than the industry average, helping customers immediately recover services.”

Banking 369

Banking Finance Algorithm Intelligence 369

CIO

JULY 20, 2023

Algorithmic retail With fast-changing customer preferences and a rise in competition, retailers are increasingly turning to AI to help them solve complex problems and make faster decisions. By putting algorithms to work on big data collected from diverse sources, retailers can intelligently predict what customers will buy and in which order.

Retail 461

Retail Technology Technology Algorithm 461

CIO

AUGUST 9, 2022

This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation. Nevertheless, most organizations face growing problems around users’ trust in algorithms. In order to overcome this issue, the applications running AI algorithms must be designed to build confidence in the outcomes.

Win 626

Win Algorithm Intelligence Intelligence 626

CIO

OCTOBER 19, 2023

To tackle this, enterprises need systems that enable real-time analysis, aggregation, and transformation of incoming data streams. These require synthetic data generation , natural language processing, image recognition, and ML techniques for meaningful analysis. MonkeyLearn, for example, implements ML algorithms for finding patterns.

Algorithm 786

Algorithm Gaming Analysis Innovation 786

CIO

NOVEMBER 20, 2023

Companies are now moving toward AI-powered decision-making in customer service—tapping into voice and sentiment analysis to automate complex processes such as recognizing customer intent and taking a recommended action to resolve it. Sales optimization In sales, AI can provide account reps with the information they need to close deals.

Airline 813

Airline Retail Knowledge Finance 813

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

Management 831

Management Predictive Analytics Data Mining Data Analysis 831

CIO

OCTOBER 17, 2023

The company has also added new capabilities to its planning and budgeting feature to help enterprises automate data analysis for preparing budgets. These features are expected to be made available within the next 12 months, NetSuite said.

IT 816

IT Finance Benchmarking Capital 816

CIO

JUNE 9, 2023

In the US, authorities are now using new laws to enforce instances of discrimination due to prejudicial AI, and the Consumer Financial Protection Bureau currently investigates housing discrimination due to biases in algorithms for lending or housing valuation. It can, of course, affect AI’s ability to make accurate predictions,” she says. “We

Business 649

Business Algorithm Technology Technology 649

CIO

NOVEMBER 21, 2023

These efforts include the integration of machine learning algorithms and other AI-based solutions to enhance data processing, analysis, and utilization. As the department’s chief data officer over the past three-plus years, I have worked at the forefront of data management and analysis.

Algorithm 716

Algorithm Innovation Competitive Intelligence 716

CIO

JANUARY 16, 2024

Human thinking and analysis have not been overtaken by machines because the algorithms themselves are at best iterations and trial and error for guessing,” he says. But he still does not see LLMs replacing human cognition any time soon. I’ve never seen a machine make an intuitive leap without it being programmed by a human.”

Innovation 743

Innovation Algorithm Technology Technology 743

CIO

OCTOBER 23, 2023

We believe that data analysis and collaboration are key to climate action. Today, Dell and others in the industry use a cradle-to-grave assessment tool called the Product Attribute to Impact Algorithm (PAIA) , which calculates emissions related to four key lifecycle stages of a product: manufacturing, use (i.e.,

Innovation 748

Innovation Algorithm Data Analysis Knowledge 748

CIO

AUGUST 17, 2023

In my experience, the algorithms from reputable firms do what they say on the tin but what really matters is where you position in the workflow.” This makes it almost impossible to monetize, and, therefore, fund the implementation and usage of the algorithms. This is true across both public and independent sectors.

Intellectual Property 597

Intellectual Property Copywrite Algorithm Brainstorming 597

CIO

FEBRUARY 13, 2024

Machine learning algorithms analyze patterns, detect anomalies and predict potential threats to the rainforest. Having access to this kind of predictive analysis is essential for addressing emerging challenges, such as identifying areas vulnerable to deforestation or predicting the spread of wildfires.

Innovation 369

Innovation Algorithm Technology Technology 369

mention

NOVEMBER 2, 2022

A SWOT analysis can help assess a business unit, product, service, or whole company. Below, we go into detail about how you can create a SWOT analysis and use it efficiently in your business. What Is SWOT Analysis? Components of SWOT Analysis. Benefits of SWOT Analysis. Here are some of them. Time Management.

SWOT 130

SWOT Analysis Brainstorming Advantage 130

CIO

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

Data Mining 792

Data Mining Knowledge Data Analysis Analysis 792

mention

NOVEMBER 10, 2023

But there is a solution: TikTok monitoring and data analysis. In this article, we will explore the art of TikTok monitoring and data analysis and show you how to use it to achieve your business or content creation goals. One of the most important is understanding the different algorithms TikTok uses.

Predictive Analytics 176

Predictive Analytics Algorithm Data Analysis Entertainment 176

Smart Data Collective

DECEMBER 19, 2021

Accordingly, before using that data in machine learning or an algorithm, you need to convert it into a precise format suitable for the system to inherit it. For instance, the Random Forest Algorithm in Python doesn’t support null values. Hence, data preprocessing is essential and required. Python as a Data Processing Technology.

Algorithm 332

Algorithm Business Data Mining Data Analysis 332

Smart Data Collective

JULY 31, 2019

So why are data analysis skills so important here, and what steps can you take to improve your results? For starters, they pass authority to your domain (and the specific page they point to), boosting your trustworthiness within search engine algorithms and increasing your search engine rankings overall. The Role of Data Analysis.

Data Analysis 199

Data Analysis Analysis Competitor Analysis Algorithm 199

CIO

AUGUST 24, 2023

As part of that work, Bala and his team of data scientists undertook extensive analysis of internal and third-party data to identify data sets critical for developing an effective partner prioritization data science strategy. “We

Annotation 530

Annotation Algorithm Innovation Sales 530

Zoominfo

FEBRUARY 17, 2020

Enter, sentiment analysis. What is sentiment analysis? Sentiment analysis is the process of gauging the attitudes, opinions, and emotions an audience expresses about a brand, product, or a specific topic. As a marketing technique, sentiment analysis can be as complex or as simple as you make it.

Analysis 130

Analysis Airline Marketing Marketing 130

CIO

JANUARY 19, 2024

Cost: $180 per exam Location: Online Duration: Self-paced Expiration: Credentials do not expire SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates your ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Knowledge 793

Knowledge Data Mining Predictive Analytics Learning 793

Smart Data Collective

NOVEMBER 1, 2020

Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Overall, unsupervised algorithms get to the point of unspecified data bits. Source ].

Learning 328

Learning Data Mining Matrix Algorithm 328