CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. First, it is clear that generative AI will transform business.

Insurance 75

Insurance Experimentation Finance Data Governance 75

CIO Business Intelligence

APRIL 1, 2024

Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. Traditionally, such an initiative would involve business process analysis, a fit-gap analysis, and process re-engineering — all of which eats up time. That’s the black swan for gen AI,” Gupta says.

Strategy 140

Strategy IT ROI Digital Transformation 140

Data Science 101

SEPTEMBER 11, 2023

. “What happens when AI ends up making mistakes? We are entering an era in which AI can write code, what are the concerns of software written by AI? And I wanted to couch my answer in some basic outlook I have about coding: Coding is simultaneously an act of expressing and comprehending human needs.

Software 110

Software Testing Finance IT 110

CIO Business Intelligence

SEPTEMBER 26, 2023

When bad actors and rogue pieces of code come into play, or subsystem breakdowns occur, it’s imperative to have the right processes in place to identify the next steps toward relief and prevent issues from happening in the future. When mayhem is a rogue piece of code Nobody wins the race standing still. The same can be said about IT.

IT 98

IT Insurance Cost-Benefit Strategy 98

CIO Business Intelligence

NOVEMBER 7, 2023

Generative AI adoption is growing in the workplace—and for good reason. But the double-edged sword to these productivity gains is one of generative AI’s known Achilles heels: its ability to occasionally “ hallucinate ,” or present incorrect information as fact. Here are a range of options IT can use to get started.

IT 128

IT Risk Modeling Strategy 128

AWS Big Data

MAY 1, 2024

In those jobs where the AWS Glue serverless Spark UI does not work as it has a limit of 512 MB of logs, you can set up the Spark UI using an EC2 instance. collect()[0][0] """ the code calculates the absolute difference between each value in the "partition_size" column and the calculated average (avg_size). groupBy("partitionId").count().orderBy(asc("count")).withColumnRenamed("count","partition_size")

Broadcasting 78

Broadcasting Optimization Metrics Interactive 78

O'Reilly on Data

DECEMBER 10, 2019

Most companies don’t have the AI expertise to implement Karpathy’s vision. Training models isn’t well understood yet, at least not within companies that haven’t already invested significantly in technology (in general) or AI (in particular). Yes, but so far, they’re only small steps. Traditional programming is well understood.

Software 261

Software Machine Learning Risk Data-driven 261

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations.

Management 363

Management Experimentation B2B Machine Learning 363

CIO Business Intelligence

OCTOBER 24, 2023

This is a staggering number that shows just how attractive the event is to threat actors – and artificial intelligence (AI) was a key driver in protecting against these attempts. AI has been an industry buzzword as of late, with the community primarily focusing on discussing how threat actors are leveraging it.

Dashboards 105

Dashboards Data Collection Visualization Reporting 105

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Therefore, it does not replace data quality solutions. As any developer knows, static analysis examines the code without executing it.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

O'Reilly on Data

JUNE 13, 2023

After fixing some obvious errors, I ran the program–and while it told me (correctly) that my number was non-prime, when compared to a known good implementation of Miller-Rabin, ChatGPT’s code made many mistakes. It didn’t generate any code, but provided a link to the Wolfram Alpha result page that described how to test for primality.

Testing 209

Testing Publishing IT Risk 209

CIO Business Intelligence

SEPTEMBER 7, 2023

At each of these points lie big opportunities for AI and ML,” says Devavrat Bapat, Head of AI/ML data products at Cisco. That’s because the current generation of AI is already very good at two things needed in supply chain management. The second is inspection, where AI is used to spot problems in manufacturing.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

Jen Stirrup

SEPTEMBER 3, 2021

This post will discuss one of the challenges of digital transformation; reconciling diversity and inclusion in organizations along with resolving ‘difficult’ artificial intelligence with ‘easy’ no-code solutions. So first of all, what does that give us? So what we see is a sequence starting to happen.

B2B 111

B2B Digital Transformation Technology Marketing 111

CIO Business Intelligence

NOVEMBER 8, 2023

That’s where EVP and CIO Kathy Kay found herself in coming to Principal Financial Group from PG&E in May 2020 with a desire to lead an aggressive plan to adopt digital technologies, ranging from the cloud to AI. To enable more AI, Principal’s engineers are using GitHub Copilot for generating code, Kay adds.

IT 123

IT Insurance Machine Learning Cost-Benefit 123

Smart Data Collective

SEPTEMBER 5, 2022

That figure is growing as more teams need them to work on projects involving data analytics, AI and similar technologies. What Does a Python Developer Do? A Python developer is responsible for writing code in the Python programming language. There are 8.2 million Python developers in the world today!

Data Science 133

Data Science Big Data Software Data Analytics 133

CIO Business Intelligence

MAY 2, 2024

Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser.

IT 59

IT Risk Enterprise Data-driven 59

IBM Big Data Hub

JANUARY 26, 2024

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. How to execute on an intent: what does the intent handler look like? As a result, networks have become increasingly hard to manage.

IoT 107

IoT Data-driven Interactive Management 107

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. There are many other different places to quickly start using generative AI, and it’s being incorporated into several tools and platforms your organization may already use.

Modeling 109

Modeling Testing Cost-Benefit Experimentation 109

CIO Business Intelligence

DECEMBER 18, 2023

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. That column may have been the understatement of the year.

Enterprise 119

Enterprise Management Risk Uncertainty 119

CIO Business Intelligence

DECEMBER 11, 2023

AI has whet the appetites of organizations across nearly every sector. As AI pilots move toward production, discussions about the need for ethical AI are growing, along with terms like “fairness,” “privacy,” “transparency,” “accountability,” and the big one —”bias.”

Modeling 131

Modeling Risk Strategy Software 131

CIO Business Intelligence

JUNE 13, 2023

Now some AI architects are eyeing the long-forgotten model of analog computation where values are expressed as voltages or currents. The fascination in the idea comes from the observation that AI models don’t need the same kind of precision as, say, bank ledgers. Some systems such as databases are designed to offer high reliability.

IT 144

IT Scorecard Software Modeling 144

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. All it takes is an understanding of how gen AI works, its applications, and limitations. Revenue leaders embracing AI The interest is there on the business side. But there are only so many costs that can be cut.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

CIO Business Intelligence

DECEMBER 6, 2023

This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader. Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance.

Enterprise 119

Enterprise Strategy Modeling Interactive 119

Jen Stirrup

SEPTEMBER 30, 2021

AI vs ML vs Data Science vs Business Intelligence. Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Data Understanding.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

JULY 31, 2023

With all the articles about all the amazing AI developments, there’s plenty of hand-wringing around the possibility that we, as software developers, could soon be out of a job, replaced by artificial intelligence. Coding can be a challenge, but I’ve never spent more than two weeks trying to figure out what is wrong with the code.

Software 98

Software Data-driven Risk Manufacturing 98

IBM Big Data Hub

NOVEMBER 14, 2023

How does Wazi as Service help drive modernization? Shift-left coding practices allow testing to begin as early as the code-writing stage, enhancing software quality. This means developers can build and deploy their environments and code with industry-grade regulations in mind, ensuring data security and regulatory compliance.

Digital Transformation 103

Digital Transformation Testing Interactive Software 103

O'Reilly on Data

JANUARY 25, 2021

Low-code and no-code computing It’s hard for a learning platform to gather data about a trend that minimizes the need to learn, but low-code is real and is bound to have an effect. Spreadsheets were the forerunner of low-code computing. Infrastructure is code, and we’ve seen plenty of tools for automating configuration.

Machine Learning 363

Machine Learning Software Testing Technology 363

Smart Data Collective

FEBRUARY 24, 2022

AI technology has changed many aspects of our lives. A recent news article written by Kevin Dallas in The Hill talked about some of the ethical issues associated with AI. The truth is that AI technology must be properly designed and used responsibly. This includes developing AI software.

Testing 106

Testing Marketing Software Technology 106

CIO Business Intelligence

APRIL 8, 2024

Besides chief experience officer, other recently ascending titles include chief AI officer (CAIO) , chief transformation officer , and chief sustainability officer. As part of his background in engineering, Boudreau had been working with AI for years. I’m excited about the seat I’m in and participating in this fourth revolution.”

IT 137

IT Strategy Technology Software 137

O'Reilly on Data

MAY 18, 2020

All this change could wreak havoc on artificial intelligence (AI) systems. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. What is an incident when it comes to an AI system?

Risk 359

Risk Modeling Data Processing Software 359

IBM Big Data Hub

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

Enterprise 108

Enterprise ROI Risk Strategy 108

CIO Business Intelligence

JUNE 29, 2022

We speak to Monika Rzepecka, MLOps analyst at the market, consumer, and brand intelligence agency, GfK, to hear what the role involves and what it delivers, strategically. . What can the MLOps role involve? . Our role is to make machine learning, or AI, projects more systematic, repeatable, and well maintained. It’s crucial.

Data Science 96

Data Science Machine Learning Data-driven Predictive Analytics 96

CIO Business Intelligence

AUGUST 17, 2023

Generative AI is widely regarded as one of the great technology breakthroughs of our time. To cut through the froth, CIO.com polled a range of IT leaders and experts for their views on where we are with generative AI, their hopes and their concerns. I believe generative AI is a game changer at a fundamental level,” he says. “I

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

O'Reilly on Data

MARCH 24, 2020

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 The model and the data specification become more important than the code. Most of the conversation around AI automation involves automating machine learning models, a field known as AutoML.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

Ontotext

APRIL 10, 2024

Currently, every organization is blindly chasing the GenAI race, often forgetting that data quality and semantics is one of the fundamentals to achieving AI success. Proliferation of data catalogs across vendors creates metadata silos and does little to connect the data semantically.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

O'Reilly on Data

DECEMBER 19, 2018

Humans no longer implement code that solves business problems; instead, they define desired behaviors and train algorithms to solve their problems. As he writes, “a neural network is a better piece of code than anything you or I can come up with in a large fraction of valuable verticals.”

Machine Learning 261

Machine Learning Software Testing Metadata 261