TechCrunch

MAY 2, 2022

Nagaraj, a Harness investor, has long been close within Bansal’s orbit, previously serving as the VP of software engineering at AppDynamics for seven years. Businesses need machine learning here. billion) and Harness (which recently raised a $230 million Series D). To have zero trust you need API clarity. ”

Artificial Inteligence 234

Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

AWS Machine Learning - AI

OCTOBER 29, 2024

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. The data engineer role.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

TechCrunch

MAY 9, 2022

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CIO

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

CIO

DECEMBER 10, 2024

Applying customization techniques like prompt engineering, retrieval augmented generation (RAG), and fine-tuning to LLMs involves massive data processing and engineering costs that can quickly spiral out of control depending on the level of specialization needed for a specific task. To learn more, visit us here.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

SEPTEMBER 12, 2024

Zoho has updated Zoho Analytics to add artificial intelligence to the product and enables customers create custom machine-learning models using its new Data Science and Machine Learning (DSML) Studio. The advances in Zoho Analytics 6.0 The advances in Zoho Analytics 6.0

Analytics 197

Analytics Artificial Inteligence Machine Learning Generative AI 197

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

Hacker Earth Developers Blog

AUGUST 2, 2022

Looking beyond the conventional HR practices and managing every part of the software engineer lifecycle is a key to increasing talent acquisition margin. In some cases, Data-driven recruiting and HR analytics use tangible company analysis and skills insights to solve recurring recruitment challenges and create high-quality talent pipelines.

Software Engineering 246

Software Engineering Engineering Artificial Inteligence Software 246

TechCrunch

JUNE 14, 2021

If you’re not familiar with Dataiku, the platform lets you turn raw data into advanced analytics, run some data visualization tasks, create data-backed dashboards and train machine learning models. In particular, Dataiku can be used by data scientists, but also business analysts and less technical people.

Enterprise 334

Enterprise Company Artificial Inteligence Machine Learning 334

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. from 2022 to 2028.

Analytics 218

Analytics Data Artificial Inteligence Healthcare 218

CIO

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

DECEMBER 20, 2024

AI and machine learning models. Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Application programming interfaces.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

AWS Machine Learning - AI

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon.

AWS 101

AWS Engineering Serverless eCommerce 101

CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Like someone who monitors and manages these models in production, theres not a lot of AI engineers out there, but a mismatch between supply and demand. The second area is responsible AI.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

CIO

NOVEMBER 4, 2024

But the more analytic support we have, the better,” Gonzalo Gortázar CEO of CaixaBank, told IBM. AI can transform industries, reshaping how students learn, employees work, and consumers buy. A client once shared how predictive analytics allowed them to spot a rising trend in customer preferences early on.

Artificial Inteligence 192

Artificial Inteligence Strategy Artificial Intelligence Generative AI 192

TechCrunch

JULY 20, 2022

Contentsquare remains focused on its original bread and butter, which is to say web and app analytics. Contentsquare also provides an API that customers can use to integrate the platform with web apps and other systems, like personalization engines. billion valuation for its code analytics suite for digital customer experiences.

Analytics 235

Analytics Technical Review Artificial Inteligence Nonprofit 235

TechCrunch

JUNE 17, 2021

Without people, you don’t have a product,” says Joseph Ifiegbu, who is Snap’s former head of human resources technology and also previous lead of WeWork’s People Analytics team. Ifiegbu joined WeWork’s People Analytics team in 2017, when the company had a total of about 2,000 employees. This prompted them to start working on eqtble. “It

Analytics 237

Analytics Data Resources Recruiting 237

CIO

NOVEMBER 4, 2024

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. Nutanix commissioned U.K.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “Time and time again I hear from software engineers and data scientists about the value Gretel offers. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

Xebia

APRIL 17, 2025

BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. bigframes.pandas provides a pandas-compatible API for analytics, and bigframes.ml offers a scikit-learn-like API for ML. BigFrames 2.0

Google Cloud 130

Google Cloud Artificial Inteligence Cloud Video 130

CIO

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Learn from data scientists about their responsibilities and find out how to launch a data science career. | What is a data scientist?

Analytics 205

Analytics Data Technical Review Analysis 205

TechCrunch

JUNE 7, 2022

He and Cheung saw the history of AI reaching an inflection point: Over the previous 10 years, companies invested in AI to keep up with tech trends or help with analytics. “The main challenge in building or adopting infrastructure for machine learning is that the field moves incredibly quickly. Image Credits: Gantry.

Artificial Inteligence 251

Artificial Inteligence Machine Learning Weak Development Team Data 251

TechCrunch

DECEMBER 13, 2022

Dataiku — which sells tools to help customers build, test and deploy AI and analytics applications — has managed to avoid major layoffs, unlike competitors such as DataRobot. ” Dataiku, which launched in Paris in 2013, competes with a number of companies for dominance in the AI and big data analytics space.

Analytics 191

Analytics Big Data Machine Learning Artificial Inteligence 191

TechCrunch

MAY 17, 2023

At the core of Union is Flyte , an open source tool for building production-grade workflow automation platforms with a focus on data, machine learning and analytics stacks. But there was always friction between the software engineers and machine learning specialists. ” Image Credits: Union.ai

Artificial Inteligence 246

Artificial Inteligence Machine Learning Open Source Data 246

TechCrunch

AUGUST 16, 2022

Pliop’s processors are engineered to boost the performance of databases and other apps that run on flash memory, saving money in the long run, he claims. ” Pliops isn’t the first to market with a processor for data analytics. A core component of Pliops’ processor is its hardware-accelerated key-value storage engine.

Data Center 208

Data Center Analytics Weak Development Team Data 208

Dataiku

JANUARY 20, 2025

According to Walid El Kara , sales engineer at Dataiku, model development isnt just about accuracy; it's about harnessing the power of tools like Dataiku to drive adoption and create high value for end users. This blog highlights the key takeaways from the presentation.

Machine Learning 52

Machine Learning Artificial Inteligence Analytics Engineering 52

CIO

FEBRUARY 9, 2024

Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. How do Einstein 1’s new prompt-engineering features work?

Artificial Inteligence 203

Artificial Inteligence Engineering Generative AI Quality Assurance 203

CIO

MARCH 26, 2025

New technology became available that allowed organizations to start changing their data infrastructures and practices to accommodate growing needs for large structured and unstructured data sets to power analytics and machine learning.

CTO 193

CTO Data Infrastructure Artificial Inteligence 193

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. In this context, collaboration between data engineers, software developers and technical experts is particularly important. Communication.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

Hacker Earth Developers Blog

JANUARY 18, 2023

Ashutosh: I have been a part of recruitment in the data science field for nearly 14 years of my career and have recruited for successful startups (seed to Series D) and MNCs across levels (entry, junior, mid and senior management) and profiles including data analysts, data scientist, ML engineers, full stack developers, and DevOps/MLOps.

Technical Review 264

Technical Review Artificial Inteligence Data Recruiting 264

TechCrunch

JUNE 8, 2022

“To better support advanced users, we’re adding support for machine learning engineers to extend Continual’s automated machine learning engine with custom models and then expose these new capabilities to all users in their organization,” the company’s CEO and co-founder Tristan Zajonc explained.

Artificial Inteligence 216

Artificial Inteligence Machine Learning AWS Engineering 216

CIO

DECEMBER 4, 2024

We’ve had folks working with machine learning and AI algorithms for decades,” says Sam Gobrail, the company’s senior director for product and technology. But for practical learning of the same technologies, we rely on the internal learning academy we’ve established.”

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235