CIO

MARCH 13, 2024

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%).

Artificial Inteligence 245

Artificial Inteligence Machine Learning Software Review CTO Coach 245

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

CTOvision

NOVEMBER 13, 2015

We have previously written about the Security Innovation Network: SINET, the very virtuous organization focused on helping the creators, innovators and entrepreneurs of the security community. The capstone event of SINET is their yearly innovation showcase in Washington DC , the last of which was held 3 and 4 Nov 2015.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

Mobilunity

MAY 3, 2024

As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. The fintech sector has witnessed explosive growth, characterized by rapid innovation and substantial investment.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. Tereza needs an interface/platform that allows her to connect to different data sources and have a singular view.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Compliance 50

Compliance Innovation Meeting Industry 50

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

TechCrunch

AUGUST 19, 2021

The startup will use the funds to hire more than 50 engineers, data scientists, business development, insurance and compliance specialists, as well as scale into new industry verticals and across into Europe. “Our technology is creating a next generation underwriting model for next generation mobility.”

Insurance 246

Insurance Mobile Weak Development Team Machine Learning 246

CTOvision

MARCH 6, 2014

By Bob Gourley Award recognizes Digital Reasoning’s proactive and game-changing approach to risk and compliance analytics. The third annual GRC Technology Innovation Awards recognize technologies that are revolutionizing the Governance, Risk Management and Compliance (GRC) market. NASHVILLE, Tenn. About Digital Reasoning.

Innovation 103

Innovation Technology Machine Learning Artificial Inteligence 103

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

OTS Solutions

JULY 18, 2023

It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience. They also enable organizations to respond rapidly to market demands, innovate faster, and deliver high-quality products that meet customer expectations.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

DECEMBER 14, 2022

The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project.

Banking 81

Banking Strategy Data Machine Learning 81

Praxent

APRIL 29, 2021

Financial Institutions Seek More Involvement in Fintech Innovation. After many years of emphasizing productivity and compliance more than invention, many traditional financial service institutions now seek out financial technology capability in the form of fintech incubators and partnerships. Fintech Innovation Getting Funded.

Fintech 52

Fintech Innovation Artificial Inteligence Banking 52

Kaseya

NOVEMBER 9, 2023

Its proliferation across businesses is a testament to its undeniable advantages, offering a dynamic ecosystem wherein organizations can seamlessly scale and streamline operations, foster innovation and adapt swiftly to ever-evolving market demands. Private cloud Private clouds are dedicated environments exclusive to a single organization.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

IDC

JULY 8, 2019

Innovative technologies such as cloud, AI/cognitive, machine learning, natural language processing, and big data/analytics are completely altering traditional procurement applications, digitizing procurement and partners. AI enabled technology makes SRM a true innovator.

Innovation 40

Innovation Applications Technology Artificial Inteligence 40

OTS Solutions

JULY 18, 2023

It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience. They also enable organizations to respond rapidly to market demands, innovate faster, and deliver high-quality products that meet customer expectations.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Exadel

APRIL 27, 2023

RegTech offers innovative technologies that simplify and optimize compliance procedures in various ways. We will also talk about how RegTech solutions can help financial services to ensure regulatory compliance and what benefits they can get from it. billion in 2021 to $19.5 billion to financial institutions in 2019.

Banking 52

Banking Report Compliance Fintech 52

CTOvision

OCTOBER 6, 2015

Winners to Introduce Innovative Technologies at SINET Showcase in Washington, DC, November 3 & 4, 2015. SAN FRANCISCO--( BUSINESS WIRE )--SINET, an organization focused on advancing Cybersecurity innovation through public-private collaboration, announced today the winners of its annual SINET 16 Innovator competition.

Company 115

Company Big Data Government Innovation 115

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Gorilla Logic

MAY 19, 2021

Companies that lead in technology innovation achieve 2-3x more revenue growth as compared to their competitors. Savvy CEOs focused on getting back to growth in the wake of the global pandemic are prioritizing technology to accelerate digital transformation and drive innovation. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Mobilunity

APRIL 23, 2024

Leveraging AI and Machine Learning Using AI and machine learning in predictive analytics can make financial services decision-making a lot better. In Pertech, they focus on innovations in personal technology usage within finance.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Cloudera

SEPTEMBER 6, 2022

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . Why telco should consider modern data architecture. Security and compliance requirements: New regulations are prompting questions like “Do we have exposure?” The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Some can even automatically respond to threats.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

Sunflower Lab

APRIL 2, 2024

Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately. By integrating data from sales orders, production schedules, and supply chains, Power BI provides insights into future demand trends.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Architecture 89

Architecture Industry Artificial Inteligence Data 89

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Machine Learning 111

O'Reilly Media - Data

APRIL 3, 2018

We are in the midst of a “data revolution,” where individuals and organizations can store and analyze massive amounts of information. Similarly, another recent workshop on fairness in machine learning aimed to identify key challenges and open questions that limit fairness, both in theory and in practice.

Artificial Inteligence 120

Artificial Inteligence Data Technical Review Artificial Intelligence 120

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. With that, we would like to take this opportunity to once again, congratulate the winners of Cloudera Partner Awards: Best Solutions Awards.

Artificial Inteligence 44

Artificial Inteligence Machine Learning Artificial Intelligence Data 44

Cloudera

SEPTEMBER 5, 2018

And last, but not the least, most IoT solutions in the market are proprietary in nature that offers little interoperability, stifles innovation, and creates vendor lock-in. End-to-End Analytics & Machine Learning. Streaming analytics and machine learning to deliver deep business insights and actionable intelligence.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

TechCrunch

MAY 21, 2021

There are still many inefficiencies in managing M&A, but technologies such as artificial intelligence, especially machine learning, are helping to make the process faster and easier. Mapping out one edtech company’s $200M bet on lifelong learning. 5 innovative fundraising methods for emerging VCs and PEs.

Marketing 244

Marketing Technical Review Software Review Windows 244

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Artificial Inteligence 69

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 69

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. Cloud Innovation. The solution implemented the Cloudera Data Platform (CDP) to better support high-performance computing.

Data 77

Data Artificial Inteligence Banking Systems Review 77

Cloudera

JUNE 25, 2019

Cloudera shared a comprehensive overview and demonstration of the all-new Cloudera Data Platform (CDP). Multi-function – solves the most demanding business use cases – applying real-time stream processing, data warehousing, data science and iterative machine learning across shared data at scale.

Enterprise 87

Enterprise Cloud Data Data Center 87

Cloudera

AUGUST 24, 2020

Today we are continuing our discussion with Martin Mannion , EMEA Big Data Community lead at Deloitte and Paul Mackay, the EMEA Cloud Lead at Cloudera to look at why security and governance requirements must be tackled in the early stages of data-led use case development, thereby mitigating more work later on.

Cloud 81

Cloud Data Government Innovation 81

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Inability to handle unstructured data such as audio, video, text documents, and social media posts. Key features of a data lakehouse.

Architecture 52

Architecture Data Storage Machine Learning 52