Smart Data Collective

MAY 20, 2019

Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure. Data scientists and software engineers are two different fields, but that doesn’t necessarily mean overlap doesn’t happen.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

DataRobot Blog

JANUARY 29, 2020

World Economic Forum’s 2020 Future of Jobs report continues to forecast a bright outlook for Data, AI, and Cloud Computing professionals. by Jen Underwood. The Jobs of Tomorrow: Mapping Opportunity in the New. Read More.

Cloud Computing 61

Cloud Computing AI AI Predictive Analytics 61

Dataconomy

FEBRUARY 6, 2024

Microsoft has reported a 27 percent increase in profit due to its focus on cloud computing and investments in artificial intelligence. The confluence of big data, cloud computing, and advanced analytics demands adaptive solutions that can harness the transformative power of AI and ML.

ML 121

ML ML Machine Learning Machine Learning 121

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataversity

JULY 27, 2022

Artificial intelligence (AI) and cloud computing have been around for a while and are the finest modern-day cognitive technologies, with 94% of the enterprises already using cloud services. The cloud AI market revenue was $5.2 billion in 2020 […].

Cloud Computing 52

Cloud Computing Artificial Intelligence Artificial Intelligence AI 52

IBM Journey to AI blog

JULY 24, 2023

An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs. Predictive analytics helps to optimize IT operations by intervening before an incident happens.

Analytics 69

Analytics Analytics Predictive Analytics Big Data 69

Smart Data Collective

JULY 2, 2019

Kaiserwetter, a German data analytics firm that specializes in managing wind farms, has developed a pioneering system that combines several digital technologies that are making headway.

Analytics 97

Analytics Analytics Big Data Big Data 97

Precisely

MAY 30, 2024

Automation and orchestration : Cloud solutions are increasingly using automation to streamline testing, failover, and fallback processes, fueling faster recovery times and reducing the need for manual human intervention.

Cloud Computing 69

Cloud Computing Predictive Analytics Machine Learning Machine Learning 69

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. to rapidly find and fix bugs faster, significantly lowering the software development rates.

Big Data 102

Big Data Big Data Database Analytics 102

Pickl AI

FEBRUARY 19, 2025

Improving Operational Efficiency and Predictive Capabilities IoT data visualization enhances efficiency by identifying bottlenecks and optimising processes. Predictive analytics, powered by visual insights, helps forecast equipment failures, energy consumption, and demand patterns.

Data Visualization 52

Data Visualization Power BI Tableau Internet of Things 52

ODSC - Open Data Science

OCTOBER 11, 2024

With an increased adoption rate in tools like AI, big data, and cloud computing, this will create an estimated 97 million new jobs. Use of predictive analytics: One of AI’s biggest advantages is its ability to predict future needs.

AI 52

AI AI Natural Language Processing Cloud Computing 52

IBM Journey to AI blog

DECEMBER 7, 2023

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

How to Learn Machine Learning

JUNE 21, 2024

Predictive analytics This uses data analysis to foresee potential defects and system failures. AI models can identify correlations and predict future outcomes with a high degree of accuracy. Predictive analytics helps cut the incidence of last-minute crises and emergency fixes.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

JUNE 29, 2023

Cloud-based solutions Cloud computing offers scalability, flexibility, and accessibility, making it an ideal choice for integrated business planning. Cloud-based solutions provide a centralized platform where teams can access data, collaborate, and make real-time updates from anywhere, at any time.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

IBM Journey to AI blog

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. By constantly monitoring equipment performance and comparing it to virtual counterparts, operators can predict potential failures or breakdowns.

Internet of Things 67

Internet of Things Machine Learning Machine Learning Cloud Computing 67

Pickl AI

SEPTEMBER 17, 2024

Cloud computing has emerged as a popular solution for providing scalable storage and processing capabilities. Healthcare In healthcare, Big Data Analytics can improve patient outcomes by analysing medical records, treatment histories, and real-time health monitoring from wearable devices.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Computer Vision : Models for image recognition, object detection, and video analytics.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Artificial Intelligence 52

IBM Journey to AI blog

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

SEPTEMBER 3, 2024

Computational Resources Training deep neural networks can be computationally intensive and time-consuming, requiring significant hardware resources. Solution: Leveraging cloud computing and GPU acceleration can help expedite the training process. This process typically involves backpropagation and optimisation techniques.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Pickl AI

AUGUST 1, 2024

MXNet: An efficient and flexible Deep Learning framework that supports multiple programming languages and is particularly well-suited for cloud computing. Their expertise is crucial for developing AI applications such as image recognition, natural language processing, and predictive analytics.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Dataconomy

MAY 26, 2023

Cloud-based workload automation Cloud computing has revolutionized the way organizations manage their IT infrastructure and applications. In the realm of workload automation, cloud-based solutions offer numerous benefits such as scalability, flexibility, and cost-efficiency.

Analytics 79

Analytics Analytics Artificial Intelligence Artificial Intelligence 79

Pickl AI

OCTOBER 3, 2024

Predictive Analytics Future AI tools may leverage predictive analytics to forecast trends based on historical data, enabling researchers to make informed decisions about their studies. This could involve recognizing nuances in language and adapting to the specific needs of different research fields.

AI 52

AI AI Natural Language Processing Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Purpose Exalogic serves as a platform for hosting high-performance cloud computing and enterprise applications. Recent updates focus on hybrid cloud capabilities, enabling seamless data movement between on-premises systems and cloud environments.

Database 52

Database Analytics Analytics Business Intelligence 52

Pickl AI

SEPTEMBER 11, 2024

Unlike a bachelor’s program, which provides a broad overview, a master’s program delves deep into specific areas such as predictive analytics, natural language processing, or Artificial Intelligence. It should cover many essential topics, including Statistics, Machine Learning, Data Mining , Big Data Analytics, and visualisation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

SEPTEMBER 23, 2024

Healthcare Data Science is revolutionising healthcare through predictive analytics, personalised medicine, and disease detection. For example, it helps predict patient outcomes, optimise hospital operations, and discover new drugs. Finance: AI-driven algorithms analyse historical data to detect fraud and predict market trends.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

phData

JULY 25, 2023

An online business involves the use of cloud computing and storage platforms. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. A successful strategy requires a personalized approach to your business.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JULY 25, 2023

An online business involves the use of cloud computing and storage platforms. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. A successful strategy requires a personalized approach to your business.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. Predictive analytics. Predictive analytics are equally valuable for user insights.

Analytics 94

Analytics Analytics ML ML 94

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Ali Arsanjani , director of cloud partner engineering at Google Cloud, will join the conference for a panel about the power and responsibility of adopting AI.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Ali Arsanjani , director of cloud partner engineering at Google Cloud, will join the conference for a panel about the power and responsibility of adopting AI.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

Implication: The strong revenue growth, particularly in AWS and advertising, highlights Amazon’s diversified revenue streams and the growth opportunities in cloud computing and digital advertising.

AWS 107

AWS Machine Learning Machine Learning ML 107