Jerry Power @i3_Systems

Most computer programs work or they don't - with no in between. In contrast, AI programs produce a best estimate result based on data estimates and weighted algorithms. You have to understand the data and algorithms in order to understand the results. www2.deloitte.com/us/en/insights…

City of LA is one of the top cities in the US leading the way to a smarter city capable of addressing citizen issues. Smart cities must have a solid understanding of evolving needs and a plan to properly position the city for those needs. smartcitiesdive.com/news/10-us-cit…

Digital transformations can propel a company to the next level but most transformations fail. Reason are seldom tech failures. Programs should be managed as business transformations that include a tech implementation component and not a tech project. dataversity.net/transformation…

Agile teams are great but leaders have to manage these teams differently. A well functioning team will develop a culture that is unique to the team. This means each team has to be managed differently and that is hard to do at scale. www2.deloitte.com/us/en/insights…

Time says too much privacy regulation is as bad as too little. True. But the role of regulators is to set minimum standards and allow consumers to decide which companies they interact with based on policies that go beyond these basic protections. time.com/6224484/data-p…

An excellent article that gets to the nut behind blockchain from Matt Levine. Does not take a pro or con approach as much as it explains how its value is based on trust (or a lack of trust). Trust being a key determiner in any transaction. bloomberg.com/features/2022-…

In timer of uncertainty, most leaders take a defensive posture. Successful leaders look for opportunity - they are not aggressive but selectively assertive. It should not be forgotten that most major companies were forged during times of uncertainty. mckinsey.com/business-funct…

A new digital divide is forming. Some companies can make productive use of data while others will struggle and fall behind. Key success indicators include ability to manage data as an asset, ability to scale/share, and a data infrastructure vision. mitsloan.mit.edu/ideas-made-to-…

When data governance programs fail, it is usually because of the human aspect of the program. Governance tools help automate what is essentially a human/process problem. Need a process first and then the tools to support the process. venturebeat.com/data-infrastru…

When an industry is disrupted, relationships change. A potential disruptors can be examined according to its impact to ecosystem participants rather than a focus on a disruptive technology itself. A brilliant and elegant way to look at disruption. www2.deloitte.com/us/en/insights…

There is a constant ebb and flow between centralized and decentralized computing. The shifts come from changing economics with networking, labor, software, and hardware. The shift to edge and networked intelligence reflects our current reality. protocol.com/enterprise/ai-…

Early adoption of edge computing has been slow Expect accelerated activity as systems emerge to edge processes to be easily integrated into a larger data infrastructure. This shifts the focus from applications so distributed intelligence systems. venturebeat.com/2022/07/26/how…

Smart cities run and data and data allows for early identification of trends impacting health. It stands to reason that the term smart cities will be synonymous with healthy cities. Maybe we should be calling them smart and healthy cities? www2.deloitte.com/us/en/insights…

A company's data is a product/service that creates value for the company. It should be managed like a product with a defined life cycle, a product manager, support/development service, and everything else associated with maximizing the product's ROI. mckinsey.com/business-funct…

Most healthcare initiatives seem to focus on the hospital or the doctor-patient relationship at a time when it is clear that we need to think about healthcare as a community issue. That means we need to think about data as a managed community resource. www2.deloitte.com/us/en/insights…

Laws that impact data are changing and different per geography. The prospects for a consistent umbrella policy are dim. The result being that companies have to know what data they have, where it is stored, how it us used, and where it came from. nytimes.com/2022/05/23/tec…

The value of data analytics is clear but the processes needed to manage data is not. While there are competing ideas, these concept are all based on the idea that data has a life cycle that must be managed. venturebeat.com/2022/05/07/dat… #DataAnalytics #I3 Systems

Deloitte points to 5 discontinuities that are changing business fundamentals. Tech progress is included along with move toward a more equitable definition of value creation, more active government oversight, and data-drive collaborative ecosystems. www2.deloitte.com/us/en/pages/ab…

The manufacturing industry is focusing on the limitations associated with deployment of application driven silos. To derive max benefit from data, data cannot be treated as an application consumable but has to be managed as an organizational asset. mckinsey.com/business-funct…

The healthcare system in the midst of a radical transformation where they shift from purpose built siloed systems to one which embraces platforms that bring down operational costs while increasing collaboration through data sharing. www2.deloitte.com/us/en/insights…