Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? Well, machine learning is almost the same.

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mention

APRIL 11, 2024

Sentiment analysis has become an essential tool in interpreting the vast amounts of textual data generated daily online. Imagine having the superpower to understand the collective mood of your customers through their tweets, reviews, or feedback – that’s exactly what sentiment analysis works towards. Want to learn more about it?

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mention

MAY 30, 2024

Emotion analysis is a blend of psychology and technology in which human feelings are translated into data. That’s what emotion analysis works towards. The magic lies in the NLP algorithms that sift through text—tweets, reviews, or conversations—and identify the emotional content.

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mention

MAY 30, 2024

Emotion analysis is a blend of psychology and technology in which human feelings are translated into data. That’s what emotion analysis works towards. The magic lies in the NLP algorithms that sift through text—be it tweets, reviews, or conversations—and identify the emotional content.

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CIO

OCTOBER 13, 2023

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

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CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next. Google Cloud Translation.

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Smart Data Collective

MARCH 22, 2022

Smart homes are getting smarter with machine learning. That’s because smart devices collect and send data back to the company for analysis to fine-tune performance. Some smart devices can ‘learn’ your preferences and run on autopilot by predicting your routines. This is made possible by machine learning.

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Smart Data Collective

JANUARY 27, 2021

Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted. A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market.

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Smart Data Collective

SEPTEMBER 24, 2021

Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experience.

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CIO

SEPTEMBER 27, 2024

AI has become a sort of corporate mantra, and machine learning (ML) and gen AI have become additions to the bigger conversation. Gen AI in practice is a special case of Euronics’ strategy that concerns data and analysis , and the task of those who direct it — the CIO or the CDO — is to understand when to apply it, and when not to.

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CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. The science of predictive analytics can generate future insights with a significant degree of precision.

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Smart Data Collective

JUNE 8, 2022

They have been a successful algorithmic trader for the past 17 months. This trader never imagined that their life would be completely transformed by becoming an algorithmic trader. They had to learn about the nuances of data analytics to get the highest ROI from their trades. This enables algorithmic trading for your account.

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Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. Technical analysis is a controversial financial management topic.

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mention

NOVEMBER 3, 2023

Sentiment analysis offers a dynamic lens through which marketers can gain invaluable insights into the thoughts, attitudes, and emotions of their customer base. Often referred to as opinion mining, sentiment analysis is a computational technique that involves the extraction of subjective information from textual or verbal data.

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CIO

OCTOBER 7, 2024

Adaptive algorithms can optimize performance based on the robot’s location and movement. Recent advances in technology — from sensors to communication technologies to GenAI — enable using robot data for advanced analysis, optimization, and collaboration, providing more flexibility, agility, and resilient production operations.

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Smart Data Collective

NOVEMBER 1, 2021

Machine learning technology has become an integral part of many different design processes. Many entrepreneurs use machine learning to improve logo designs. One of the areas where machine learning has proven particularly useful has been with 3D printing. How Can You Use Machine Learning to Control Costs Better?

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CIO

OCTOBER 2, 2024

Algorithmic transparency and explainability AI systems often operate as ‘black boxes,’ making decisions that are difficult to interpret. It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. Steps to develop and implement an AI policy 1.

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Smart Data Collective

JULY 4, 2021

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning? What Machine Learning Means to Asset Managers. Data Analysis. But is AI becoming the end-all and be-all of asset management ? Risk Management.

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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

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CIO

JANUARY 26, 2024

Google Cloud’s strength in data analysis and AI tools is a perfect fit for this new world of software-defined vehicles,” McCarthy says. “It It will enable Ford to better understand how their vehicles are performing in the field and lead to future improvements.”

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CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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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?

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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.

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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.

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CIO

OCTOBER 1, 2024

Source code analysis tools Static application security testing (SAST) is one of the most widely used cybersecurity tools worldwide. Many organizations have internally acknowledged the challenges listed above and started to integrate supervised learning models with their offerings. SAST is no different.

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Smart Data Collective

APRIL 10, 2020

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. Machine learning is already disrupting the global energy industry on a massive scale.

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CIO

JULY 2, 2024

For example, Netflix’s 2009 $1 million algorithm contest succeeded but the algorithm wasn’t used due to integration issues and business model changes. This approach allows for learning and adaptation with minimal risk. Start small, learn from initial implementations, and adapt based on results.

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Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

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CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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CIO

AUGUST 18, 2023

The platform then makes this connected data accessible to Lilly’s data and analytics experts, who in turn create algorithms to better understand the disease journey, help measure the effect of Lilly medicines, and build new products that support successful patient outcomes.

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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.

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CIO

MAY 8, 2024

The company typically gains new customers through requests for proposals, but responding to an RFP was a slow process involving detailed analysis by a trained underwriter performing calculations on a large volume of variables in an Excel spreadsheet.

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Smart Data Collective

APRIL 10, 2020

One study found that 53% of marketers plan to use machine learning in some capacity. At Smart Data Collective, we have discussed many of the ways that AI and machine learning have changed the face of performance marketing. Machine learning is changing the way that companies position their brand image. Better targeted marketing.

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SpyFu

JULY 23, 2024

As an SEO or marketer, knowing how search engine algorithms work can give you a competitive edge. In this post, we'll break down the algorithms of major search engines: Google, Bing, DuckDuckGo, and YouTube. What is a Search Engine Algorithm? That’s where their individual algorithms come in.

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SpyFu

JULY 23, 2024

As an SEO or marketer, knowing how search engine algorithms work can give you a competitive edge. In this post, we'll break down the algorithms of major search engines: Google, Bing, DuckDuckGo, and YouTube. What is a Search Engine Algorithm? That’s where their individual algorithms come in.

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Smart Data Collective

JUNE 26, 2019

Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications. It is free and relatively easy to install and learn.

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CIO

JUNE 26, 2024

Stanford Medicine Children’s Health, the University of Miami Health System, and Atlantic Health have all moved forward with projects in the areas of precision medicine, machine learning, ambient documentation, and more. Because the algorithm requires considerable processing resources, the team decided to host it in the cloud.

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