Monday, March 8, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Artificial Intelligence

Achieving Innovation at Scale with AI

February 14, 2020
in Artificial Intelligence
Future of AI in Government
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Sponsored by:

Scheduled for April 2, 2020, 1 pm to 1:30 pm EDT

You might also like

Autonomous Cars And Minecraft Have This In Common  

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  

How to Meet the Enterprise-Grade Challenge of Scaling AI 

REGISTER

While the power and promise of AI is exciting, organizations are challenged to successfully transition past proof of concepts to production and scale. Applications based on artificial intelligence (AI), machine learning, and continual deep learning are transforming how consumers, enterprises, and agencies work, learn, and interact. Data is the core of the new digital economy and needs to be managed from edge to core to cloud, analyzed in near real time for insights and responsible and ethical action to affect outcomes. AI algorithms need 8-10 times the volume used for traditional analytics, and effectiveness depends on high quality, diverse, and dynamic data inputs. Historically, data analytics centered around large files, sequential access, and batched data. Today, data consists of small to large files and structured, semi-structured, and unstructured content. Additionally, data is increasingly becoming distributed across on-premises, colocation, and hybrid cloud environments. IDC predicts that by 2025, more than a quarter of the global data set will be real time in nature.

Challenges to government in operationalizing and scaling AI include evolving IT infrastructure components for digital transformation, reengineering agency workflows and processes for cloud computing, training employees on using and interacting with AI, and addressing the impact of AI on jobs and skills. Also, agencies must decide who owns the data, develop data management and governance strategies, organize stakeholders in addition to CDO’s to determine roles of each team member within the organizational structure. It is of utmost importance that agencies also create policies to ensure responsible and ethical AI, leverage industry partners, and deploy best practices.

Due to the complexity and resources required for AI solutions, AI model creation is time intensive, expensive, experimental, and often “one-off” solutions. Most organizations struggle through proof of concepts and only a few have made it beyond the incremental benefits of a single business process to full production agency wide. For many agencies, getting to innovation at scale is the next major obstacle to be overcome.

Learning Objectives

  • How public sector agencies can scale AI and intelligent automation to meet their critical agency objectives
  • How innovative agencies are moving from pilots to production with AI today
  • What strategies agencies can deploy to accelerate the use of AI in their digital transformation plans

Speaker:

Scott Lundstrom, Group Vice President and General Manager, Software Research, IDC
Scott Lundstrom is a long-time industry analyst focused on the transformative and disruptive nature of technology. Mr. Lundstrom has been focused on IT driven business innovation and change in a variety of industries and settings. Mr. Lundstrom is an expert on the emerging third platform, and speaks regularly on the future of cloud, analytics, AI, mobility, and social media to digitally transform and radically alter the process and services offered to customers in the marketplace.

Prior to joining IDC, Mr. Lundstrom was the Senior Vice President of Research and CTO of AMR Research. At AMR Mr. Lundstrom Managed the industry research practice and supported a number of specific vertical industries. Mr. Lundstrom also specialized in work with clients facing platform and infrastructure decisions in regulated industries including aerospace and defense, insurance, financial services, and life sciences.

REGISTER

Credit: AI Trends By: Josh Johnson

Previous Post

Prudential plc Singapore teaches employees machine learning

Next Post

Forget Coronavirus: This ‘Earth Destroyer’ Asteroid Could Kill You First

Related Posts

Autonomous Cars And Minecraft Have This In Common  
Artificial Intelligence

Autonomous Cars And Minecraft Have This In Common  

March 5, 2021
Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  
Artificial Intelligence

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  

March 5, 2021
How to Meet the Enterprise-Grade Challenge of Scaling AI 
Artificial Intelligence

How to Meet the Enterprise-Grade Challenge of Scaling AI 

March 5, 2021
Convergence of AI, 5G and Augmented Reality Poses New Security Risks 
Artificial Intelligence

Convergence of AI, 5G and Augmented Reality Poses New Security Risks 

March 5, 2021
Survey Finds Many Companies Do Little or No Management of Cloud Spending  
Artificial Intelligence

Survey Finds Many Companies Do Little or No Management of Cloud Spending  

March 5, 2021
Next Post
Forget Coronavirus: This ‘Earth Destroyer’ Asteroid Could Kill You First

Forget Coronavirus: This ‘Earth Destroyer’ Asteroid Could Kill You First

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Top 6 Regression Techniques a Data Science Specialist Needs to Know
Data Science

Top 6 Regression Techniques a Data Science Specialist Needs to Know

March 8, 2021
Dataiku named as Gartner Leader for Data Science and Machine Learning
Machine Learning

Dataiku named as Gartner Leader for Data Science and Machine Learning

March 8, 2021
Bill establishing cyber abuse takedown scheme for adults enters Parliament
Internet Security

eSafety defends detail of Online Safety Bill as the ‘sausage that’s being made’

March 8, 2021
An Easy Way to Solve Complex Optimization Problems in Machine Learning
Data Science

An Easy Way to Solve Complex Optimization Problems in Machine Learning

March 8, 2021
Machine Learning Patentability In 2019: 5 Cases Analyzed And Lessons Learned Part 4 – Intellectual Property
Machine Learning

Podcast: Non-Binding Guidance: FDA Regulatory Developments In AI And Machine Learning – Food, Drugs, Healthcare, Life Sciences

March 8, 2021
Here’s an adorable factory game about machine learning and cats
Machine Learning

Here’s an adorable factory game about machine learning and cats

March 8, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Top 6 Regression Techniques a Data Science Specialist Needs to Know March 8, 2021
  • Dataiku named as Gartner Leader for Data Science and Machine Learning March 8, 2021
  • eSafety defends detail of Online Safety Bill as the ‘sausage that’s being made’ March 8, 2021
  • An Easy Way to Solve Complex Optimization Problems in Machine Learning March 8, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates