Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Machine Learning Artificial Inteligence Software Engineering Engineering 130

CIO

NOVEMBER 8, 2023

“We had to make [that] investment to leverage AI and machine learning models for different analytical capabilities across the entire company,” Kay says. It has also implemented chatbots, developed machine learning models using Databricks, and is dipping its toes into generative AI.

Technical Review 310

Technical Review Software Review Generative AI Artificial Inteligence 310

CIO

FEBRUARY 5, 2024

As we expand our retail and corporate presence across the Middle East, Asia, and Africa, data residency compliance is a key focus. Mashreq initiated a strategy to modernize its core systems globally, aiming for open, modular, and scalable solutions through infrastructure upgrades. What benefits this partnership is bringing to Mashreq?

Banking 296

Banking Artificial Inteligence Blockchain Compliance 296

CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

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Artificial Inteligence Generative AI Machine Learning Analytics 284

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

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Artificial Inteligence Machine Learning AWS Weak Development Team 72

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Machine Learning Artificial Inteligence How To Case Study 120

Cloudera

MAY 30, 2024

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. Implementing a modern data architecture is vital to compliance, and those banks that can underpin compliance with such an architecture will be well prepared.

Analytics 83

Analytics Data Compliance Banking 83

The Accidental Successful CIO

SEPTEMBER 21, 2022

It turns out that it’s hard to find the right people to do machine learning Image Credit: deepak pal. The good news is that there is new technology that is available to allow this to be done: machine learning. The bad news is that this machine learning stuff requires smart people to implement it.

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Artificial Inteligence Machine Learning Artificial Intelligence Banking 52

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

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Machine Learning Artificial Inteligence Software Review Conference 94

CIO

APRIL 25, 2023

Most banks have very old infrastructure that doesn’t produce the data they need, to effectively engage with customers,” Nilendu says. In addition, banks struggle to maintain customer data privacy, security, and compliance amid changing regulatory requirements.

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Banking Machine Learning Artificial Inteligence Azure 246

Trigent

SEPTEMBER 29, 2023

To ensure sustainable logistics, advanced technology and IT infrastructure development are critical. They need an ever-ready infrastructure that can power business-critical applications while offering the agility and flexibility to stabilize, optimize, and manage their business effectively.

Infrastructure 52

Infrastructure Technical Review Artificial Inteligence VR 52

TechCrunch

APRIL 12, 2022

“Searching for the right solution led the team deep into machine learning techniques, which came with requirements to use large amounts of data and deliver robust models to production consistently … The techniques used were platformized, and the solution was used widely at Lyft.” ” Taking Flyte.

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Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

MAY 9, 2024

That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI. CAIOs should also work closely with enabling units and project teams to deliver new AI capabilities.

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Artificial Inteligence Artificial Intelligence Compliance Culture 345

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. Refresh your understanding of the AWS Shared Responsibility Model as it applies to infrastructure, services, and data when you build LLM solutions.

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Artificial Inteligence Generative AI Security Applications 115

CIO

DECEMBER 19, 2023

That comes with the ability to create a storage infrastructure–or even create their own private cloud – that can be used going forward like a private cloud for each agency. Once established, the secure cloud fabric becomes the support infrastructure for cloud migration and cloud portability.

Government 275

Government Artificial Inteligence Cloud Data 275

CIO

JUNE 22, 2023

It’s also sparked conversations around ethics, compliance, and governance issues, with many companies taking a cautious approach to adopting AI technologies and IT leaders debating the best path forward. Much of the discussion around AI in the workplace has been about the jobs it could replace.

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Artificial Inteligence ChatGPT CTO Coach Generative AI 263

CIO

FEBRUARY 14, 2024

“Just as a balanced diet fortifies the body, a robust and modern IT infrastructure lays the groundwork for AI and other advanced technologies to flourish.” In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to.

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Artificial Inteligence Generative AI Software Review Development Team Review 358

Datavail

AUGUST 1, 2023

Oracle Cloud Infrastructure (OCI) has emerged as a preferred choice for businesses seeking a robust and secure cloud platform. Advanced Security and Compliance: Security is a top priority for organizations, especially when it comes to their mission-critical applications and sensitive data.

Infrastructure 52

Infrastructure Cloud Systems Review Storage 52

CIO

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications. Watch on-demand here.

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Cloud How To Malware Open Source 246

CIO

AUGUST 7, 2023

This archetype is the simplest, both in terms of engineering and infrastructure needs, and is generally the fastest to get up and running. Shapers want to develop proprietary capabilities and have higher security or compliance needs. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

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Generative AI Off-The-Shelf Architecture Infrastructure 246

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. The core of Natalia’s doubts lay in her recent experience with a machine learning solution sourced from an external vendor.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

DataRobot

JULY 27, 2021

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. We couldn’t agree more.

Infrastructure 98

Infrastructure Technical Review Artificial Inteligence Machine Learning 98

CIO

FEBRUARY 28, 2023

If you experienced a traffic spike, the cloud provided the flexibility to provision more infrastructure but the work to scale up (and down) was on your team to manage. Are you using automation and/or machine learning to help you adapt to constantly evolving threats? Click here to learn more. It’s costing companies $2.5

Technical Review 246

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AWS Machine Learning - AI

APRIL 16, 2024

They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output. Protected infrastructure communications – The communication between devices in the ML accelerator infrastructure must be protected.

Generative AI 109

Generative AI AWS Artificial Inteligence Artificial Intelligence 109

Datavail

APRIL 18, 2023

Furthermore, global cloud infrastructure expenditure is projected to exceed $118 billion by the year 2025. Therefore, as most businesses continue to migrate organisational workloads, data systems and infrastructure to the cloud, it is crucial to select the right cloud vendor to satisfy your business’s preferences and requirements.

Infrastructure 52

Infrastructure Performance Cloud Software Review 52

Cloudera

JANUARY 30, 2019

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Meanwhile, IT has a difficult time keeping up with these changing needs while ensuring operational efficiency and compliance. Sound familiar? Register Now.

Machine Learning 78

Machine Learning Artificial Inteligence Data Open Source 78

TechCrunch

JUNE 9, 2022

We take for granted how easy it is for a person to access a financial product made possible through strong infrastructure products. Companies can see their compliance status from Middesk’s dashboard. Within months, they’ll need access to working capital and insurance, payments, and payroll providers to grow the business.

Banking 143

Banking Compliance Insurance Small Business 143

CIO

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack.

Data 243

Data Agile Government Cloud 243

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Security and compliance must be met, first and foremost. Author: Ryan Swenson, Global Leader, Cloudera Healthcare and Life Sciences.

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Artificial Inteligence Machine Learning Analytics Healthcare 53

TechCrunch

JUNE 9, 2022

We take for granted how easy it is for a person to access a financial product made possible through strong infrastructure products. Companies can see their compliance status from Middesk’s dashboard. Within months, they’ll need access to working capital and insurance, payments and payroll providers to grow the business.

Banking 130

Banking Compliance Insurance Small Business 130

CIO

OCTOBER 24, 2023

Over the past few years, CIOs have focused on enabling hybrid work, driving efficiencies through automation, modernizing applications, enabling machine learning predictions, and maturing the data-driven organization.

Technical Advisors 363

Technical Advisors Technical Review Artificial Inteligence Generative AI 363

CIO

SEPTEMBER 14, 2023

The company’s pivot to new tech development and SaaS began in 2021 and is keenly focused on the cloud, machine learning, and AI, as well as blockchain for tracking digital assets. IDC analyst Thomas Shuster believes such efforts to diversify Nasdaq’s portfolio will deliver meaningful results.

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Artificial Inteligence Weak Development Team Generative AI Banking 287

CIO

MARCH 13, 2023

While banking and finance organizations have aggressively moved workloads and apps to the cloud to meet changing customer needs, some remain hesitant to tackle modernization of core infrastructure and systems, fearing a disruption to the business. They need to move quickly, and at scale.”

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Banking Artificial Inteligence Cloud AWS 130

CIO

SEPTEMBER 2, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. However, this is also dependent on institutions meeting their regulatory compliance. trillion by 2030.

Banking 246

Banking Innovation Strategy Artificial Inteligence 246

CIO

AUGUST 28, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. However, this is also dependent on institutions meeting their regulatory compliance. trillion by 2030.

Banking 246

Banking Innovation Strategy Artificial Inteligence 246

Tenable

MAY 31, 2024

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? Promote a collaborative culture: Encourage communication and collaboration among the organization’s data science, IT infrastructure and cybersecurity teams to address any risks or concerns effectively.

Security 67

Security Artificial Inteligence Generative AI Artificial Intelligence 67

TechCrunch

AUGUST 4, 2022

It moves] beyond legacy and compliance-driven approaches to cybersecurity to more risk-based models that [look] at cybersecurity holistically and in the context of spending,” Kannry said. ” The cybersecurity industry, once the VC darling, has been hammered by layoffs recently as macroeconomic factors take their toll.

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Company Insurance Energy Infrastructure 211