AI Articles and Analysis about Software development

Software development is the process of computer programming, documenting, testing, and bug fixing involved in creating and maintaining applications and frameworks resulting in a software product. ", "uri": "https://en.wikipedia.org/wiki/Software_development

Software Development
in the Evolving World of Medical Devices and Applications@2x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Machine learning infrastructure
Research and development
Software development

Software Development in the Evolving World of Medical Devices and Applications – with Urvashi Tyagi of ResMed

As technology advances, the lines between mobile applications and medical devices are blurring in ways that have healthcare leaders, software developers, and regulators alike facing new and unprecedented challenges.
IT for Financial Services in the Age of GenAI-min
Business intelligence and analytics
Finance
Cybersecurity
Financial services
Data analysis
Data auditing
Data collection
Data integration
Data management
Insider threats
Machine learning infrastructure
Predictive analytics and forecasting
Research and development
Security
Software development

IT for Financial Services in the Age of GenAI – with Craig Mackereth of Rimini Street

Dozens of GPT-driven products are already on the market, and hundreds more are in development. These tools collectively aim to revolutionize traditional roles and processes, transforming them into dynamic, parallelized workflows using variants of LLM models, such as AutoGPT. Tools like GitHub Copilot, powered by OpenAI's Codex, are demonstrating significant improvements in developer productivity, with some studies showing up to a 55% increase in task completion speed. 
Driving Responsible Approaches to AI through Operations and Development Workflows
Copilot
Consumer goods
Data auditing
Electronics
Data collection
Software development
Data entry
Technology
Data integration
Data management
Generative AI
Hiring
HR
Large Language Models
Process automation
Research and development
Skills ID
Software development
Training and development

Driving Responsible Approaches to AI Through Operations and Development Workflows – with Ranjan Sinha of IBM and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
UNICRI on responsible AI criteria and other tool kits@2x-min
Cybersecurity
Government
Emergency management
Law enforcement
Generative AI
Intelligence
Large Language Models
Logistics
Machine learning infrastructure
model development
Natural Language Processing
Research and development
Security
Software development

UNICRI-Approved Responsible AI Toolkits for Law Enforcement

The United Nations Interregional Crime and Justice Research Institute (UNICRI) was established in 1968 as an autonomous institution in response to a United Nations resolution urging expanded crime prevention and criminal justice activities. UNICRI's mission is to advance justice, crime prevention, security, and the rule of law to support peace, human rights, and sustainable development. 
Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces@1x
Data auditing
Data collection
Data entry
Data integration
Data management
Employee engagement
Generative AI
Large Language Models
Legal research
Machine learning infrastructure
model development
Natural Language Processing
Process automation
Report generation
Research and development
Software development

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Strategic Adoption of Large Language Models and Generative AI – with Asif Hasan of Quantiph@2x
Case management
Data collection
Data entry
Data management
Discovery
Drug discovery
Employee engagement
Enterprise resource planning
Knowledge management
Legal research
Machine learning infrastructure
Process automation
Research and development
Risk management
Software development

Strategic Adoption of Large Language Models and Generative AI – with Asif Hasan of Quantiphi

As nearly every American household has realized over the last year, large language models combined with generative AI abilities pose tremendous challenges and opportunities for enterprises of every shape and size. Just ask anyone who has heard of ChatGPT.
Managing Model Development@2x-min
Business intelligence and analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Knowledge management
Predictive analytics and forecasting
Research and development
Software development

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.