AI: What Organizations Are Saying

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Unorganized data and its governance are a challenge.

Decision-makers are inundated with an overwhelming amount of data. While data is a powerful tool for informed decision-making, a large amount of unorganized data without proper governance can create significant challenges.

Information Overload
When data is abundant but disorganized, it leads to information overload. Decision-makers need help discerning relevant insights from the available data, but disjointed data sets often make that challenging.

Quality Concerns
Without governance, data accuracy or quality is difficult to achieve. Decisions based on poor-quality data can be worse than those made without data.

Time and Resource Wastage
Sifting through vast, unstructured data consumes valuable time and resources that could be better spent on strategic initiatives. This inefficiency can delay decisions and impact organizational agility.

Security and Compliance Risks
A lack of governance means data may not be managed in compliance with legal and ethical standards, exposing the organization to legal risks and reputational damage.

Inability to Leverage Data Effectively
Unorganized data hampers the ability to leverage advanced analytics and AI technologies, which perform better with high-quality data.

Organizations
are figuring out the appropriate
AI policies and governance.

Foster Innovation
Create an environment that encourages experimentation with AI, which is essential for breakthroughs and advancements.

Remain Flexible
AI is evolving rapidly. Governance should be adaptable to embrace new technologies and methodologies.

Balance Ethics and Innovation
Ensure AI is used responsibly to avoid ethical issues without letting it hinder creative exploration.

Manage Risks Wisely
Effective governance is about managing risks, not eliminating them. Allow for calculated risks, which are essential for progress.

Stay Legally Compliant
AI policies should comply with current laws and be prepared to adapt to future legal changes.

It is crucial to govern safe AI use without stifling innovation. AI governance should guide and protect, not restrict—a balance vital to harnessing AI’s full potential.

Utilize cautious experimentation for maximum success.

Controlled AI experimentation can lead to innovative discoveries while ensuring safety and compliance.

Valuable Insights
Frontline employees often have practical insights. Let them explore AI to find new uses in a controlled way.

Learn and Adapt
Employees can provide direct feedback from their experiments, helping to improve effective use of AI tools.

Safe Innovation
Allow experimentation within clear boundaries to ensure it does not cause reputational harm or break processes.

Risk Control
Cautious experimentation manages risks, keeping your organization safe legally and ethically.

Stay Ahead
Encouraging careful AI experimentation fosters a culture of learning and adaptation, giving your organization a competitive edge in attracting talent and improving processes.

There is value in traditional AI tools.

It’s important for organizations not to overlook the value of automation, machine learning, and predictive modeling with the rise of Modern AI.

Cost-Effective
Traditional AI tools are often more affordable than newer technologies, making them a practical choice for many applications.

Reliable and Tested
These tools have been used effectually for many years, proving their reliability and effectiveness in various applications.

Widely Available
Traditional AI tools are numerous and available for many use cases.

Data Efficiency
They are especially good at handling structured data, a significant part of business analytics.

Compatibility
These tools usually fit well with existing business systems, requiring less integration adjustment.

Balanced Strategy
While exploring new AI is beneficial, Traditional AI ensures a stable and comprehensive approach.

Leading Nonprofit and AI

Jefferson is applying the value of predictive modeling: “We created segments for qualifying prospects called a ‘faster funnel.’ Each segment receives different communication, such as videos or emails. We then evaluate the response rates for the segments to tweak its strategy and qualify prospects.”