Paul Hobcraft

OCTOBER 30, 2023

I have been building a stronger, more robust narrative that is built around what I continue to refine and offer as my advisory and coaching practice at Agility Innovation, my eight skill development and creative thinking steps , which will be discussed in depth in a subsequent post or two. My 2nd offer point. My 4th contribution point.

Agile 182

Agile Innovation Creative Thinking Culture 182

Planview

FEBRUARY 29, 2024

Amidst the relentless waves of innovation and competition, OEMs, suppliers, and manufacturers in the automotive industry navigate a sea of challenges and opportunities. The imperative for proactive tech debt management emerges as a linchpin for financial prudence, operational efficiency, market agility, and brand resilience.

Industry 59

Industry Underperforming Technical Team Software Collaboration 59

Paul Hobcraft

NOVEMBER 1, 2023

It’s a journey, but it promises the rewards of being at the forefront of industry evolution and transformation. Within the value proposition, we actively shape these journeys, building adaptability, agility and innovation for long-term success in the changing business environment we all face today.

Change 173

Change Underperforming Technical Team Technical Review Agile 173

Paul Hobcraft

MARCH 20, 2024

This might involve assembling the right team, procuring the needed technology, and ensuring data availability. Some additional considerations that need care when thinking through radical change around external data and GenAI thinking : Data Quality: High-quality data is fundamental for AI generative thinking.

Engagement 162

Engagement Generative AI Innovation Data 162

Paul Hobcraft

JANUARY 22, 2024

Actionable Steps: Invest in data analytics and modelling to uncover hidden patterns. Agile Organizational Structure: Why it Matters: A rigid structure can hinder adaptability. An agile structure allows for quick adjustments to changing conditions. Implement agile methodologies for iterative and adaptive approaches.

Artificial Inteligence 147

Artificial Inteligence ChatGPT Agile Culture 147

Acuvate

APRIL 12, 2023

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. technologies to build a fully connected and integrated industrial ecosystem.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

APRIL 12, 2023

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. technologies to build a fully connected and integrated industrial ecosystem.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

JUNE 22, 2022

“Digital banking,” “super apps,” “hyper-personalization,” “customer experience,” and “agility” — are the terms redefining the BFSI industry today. Let’s explore in detail how digital transformation is revolutionizing the banking and financial services industry (BFSI). Top 5 Digital Transformation Use Cases for the BFSI Industry.

Industry 52

Industry Artificial Inteligence Agile System 52

Daniel Burrus

MARCH 6, 2019

This visceral image of “industry” being gritty and exclusively blue-collar is true to some degree, but when “4.0” advanced automation and robotics, 3D printing, and other industrial Internet of Things (IoT) advancements often replace mundane tasks in manufacturing, Industry 4.0 Industry 1.0 Industry 4.0 Industry 4.0

Industry 71

Industry Artificial Inteligence Internet of things Big Data 71

ITONICS

NOVEMBER 10, 2020

A look at disruptive forces impacting the insurance industry in 2021 and beyond. As insurers re-engineer their offerings to find renewed resilience and stability in the flux of global uncertainty, industry leaders have the opportunity to evolve legacy environments and redefine differentiated value. FOR REPORT DOWNLOAD - CLICK.

Industry 69

Industry Disruption Agile Trends 69

Acuvate

SEPTEMBER 4, 2023

In the rapidly evolving world of finance and insurance, brimming with risks and complexities, an amalgamation of data and analytics has created a transformative approach to risk management. In a nutshell, predictive analytics harnesses historical data to forecast future events. This helps insurers evaluate risks with utmost accuracy.

Data 52

Data Artificial Inteligence Management Policies 52

Jeffrey Phillips

MAY 5, 2021

The increase in data and our ability to analyze data and turn it into insights and information also contributes to the increasing focus on specialization and minute changes to operation models. So we hone our data intelligence skills to find small wins, ignoring the larger patterns within the data.

Underperforming Technical Team 284

Underperforming Technical Team Data Agile Analysis 284

Innovation Excellence

MAY 26, 2020

This throws up a number of questions for individuals, companies, and Governments on how to prepare people to face the challenges of the 4th Industrial era. How do we develop genuinely agile enterprises that can improvise into the future? How then shall we “swim with information” rather than “drown in data”?

Industry 52

Industry Technical Review Agile Data 52

Acuvate

FEBRUARY 11, 2022

The automotive industry is on the brink of significant technological disruption. Underpinning Industry 4.0 Now, as the automotive industry carefully navigates the road to recovery, industry leaders are signaling the onset of the new normal, heralding in digital transformation at an unparalleled speed.

Industry 52

Industry Artificial Inteligence Analysis Data 52

Jeffrey Phillips

SEPTEMBER 27, 2021

From new medical devices to new banking products, to new consumer appliances and more, I've worked on a number of innovation projects in a wide range of industries. Companies need to be faster, more nimble, more agile to compete in the existing marketplace, and everywhere you go, you hear the resounding phase "digital transformation".

Agile 261

Agile Innovation Course Data 261

Tullio Siragusa

APRIL 15, 2024

Generative AI refers to algorithms that can learn from data and generate original content, be it text, code, or strategic plans. Here are specific examples of how these technologies can be applied: Strategic Planning and Decision Making AI algorithms can analyze vast amounts of data to identify trends, opportunities, and threats.

Generative AI 90

Generative AI Artificial Inteligence Analysis Trends 90

Paul Hobcraft

DECEMBER 1, 2020

By registering you can view “on-demand” selectively or watch the whole event, explore the showrooms and simply learn, evaluate and assess what these concepts would mean for you in your own Industry 4.0 When we reflect on the remote work, rapid response and agility have all been tested in recent months.

Artificial Inteligence 320

Artificial Inteligence Industry System Agile 320

Paul Hobcraft

SEPTEMBER 20, 2016

Steve Blank has a famous rallying cry of “ get out of the building ” as part of the Customer Development Manifesto , to turn the initial hypothesis into real customer needs through gathering hard customer data, outside your office, validating it to the real world outside. Going cross-industry.

Industry 215

Industry Trends LEAN Change 215

Acuvate

MAY 31, 2023

The retail industry is constantly undergoing a profound transformation as it continues to embrace the power of technology. Furthermore, we will explore how they are revolutionizing the retail industry. Furthermore, we will explore how they are revolutionizing the retail industry.

Artificial Inteligence 52

Artificial Inteligence Industry Data Competition 52

Leapfrogging

FEBRUARY 28, 2024

When organizations integrate artificial intelligence in design thinking , they enhance their ability to process large volumes of data, uncover hidden patterns, and deliver personalized experiences. AI complements human creativity, enabling teams to translate complex data into meaningful insights and innovative solutions.

Design Thinking 140

Design Thinking Artificial Inteligence Design Analysis 140

Leapfrogging

APRIL 29, 2024

Increased Agility: Leaders who think strategically are more adaptable and can pivot quickly in response to changing market conditions. Agility Ability to adapt strategies quickly to external changes. This forward-looking approach is essential in today’s fast-paced world where industries can change overnight.

Strategy 100

Strategy Strategy Strategic Thinking Leadership 100

Leapfrogging

APRIL 29, 2024

Increased Agility: Leaders who think strategically are more adaptable and can pivot quickly in response to changing market conditions. Agility Ability to adapt strategies quickly to external changes. This forward-looking approach is essential in today’s fast-paced world where industries can change overnight.

Strategy 100

Strategy Strategy Strategic Thinking Leadership 100

Leapfrogging

MARCH 15, 2024

Utilizing Data-Driven Decision Making In today’s digital age, leveraging data is non-negotiable. Data-driven insights can help predict trends and measure the effectiveness of your strategies. This agility allows your company to respond swiftly to emerging challenges and opportunities.

Underperforming Technical Team 100

Underperforming Technical Team Strategy Strategy Technical Review 100

Paul Hobcraft

NOVEMBER 21, 2023

This might involve assembling the right team, procuring the needed technology, and ensuring data availability. Some additional considerations that need care when thinking through radical change around external data and GenAI thinking : Data Quality: High-quality data is fundamental for AI generative thinking.

Generative AI 162

Generative AI Design Innovation Data 162

Brunner

JUNE 6, 2023

Gone are the days when advertisers had to rely on a tedious process of negotiating deals with individual account reps channel by channel, committing to ad buys, and waiting for days to receive data. We’re agile and we’re moving forward — and we’re trying to move this industry forward.”

Data 52

Data Management Marketing Report 52

etventure

AUGUST 4, 2020

Deep Learning) require access to huge amounts of data to reach their full potential. Many countries globally have recognized that the handling and processing of these large data sets depend heavily on the agile innovation engines of our economies – the startups.

Data 52

Data Big Data Artificial Inteligence Technical Review 52

ITONICS

NOVEMBER 10, 2020

A look at disruptive forces impacting the insurance industry in 2021 and beyond. As insurers re-engineer their offerings to find renewed resilience and stability in the flux of global uncertainty, industry leaders have the opportunity to evolve legacy environments and redefine differentiated value. FOR REPORT DOWNLOAD - CLICK.

Industry 36

Industry Disruption Agile Trends 36

Daniel Burrus

FEBRUARY 1, 2023

In years past, many businesses have succeeded with an agile, reactive approach to business where they respond to climate, competition, and social circumstances in an “after the fact” way. Instead of reacting with agility, modern business leaders are taking a more proactive route and, more importantly, responding with an Anticipatory approach.

Trends 77

Trends Agile Software Software Developers 77

Paul Hobcraft

JUNE 21, 2023

The potential returns, including increased agility, improved innovation outcomes, enhanced collaboration, and long-term competitiveness, make this radical change worthwhile for organizations aspiring to thrive in today’s dynamic business environment.

Agile 130

Agile Design Innovation System 130

mjvinnovation

AUGUST 6, 2020

Agile Mindset. Agile Methodologies provide a fundamental turning point for this mindset. UX, DevOps, Blockchain, Data Science, IoT, RPA, Data Lake, and Big Data are just a few examples of technologies that will provide: Systemic availability. Data always guide us. How to do this? Interoperability.

Change 52

Change Industry Agile Data 52

Planview

MARCH 28, 2024

A Shifting Reality for the Auto Industry Automotive companies are increasingly confronted with the intricate task of synchronizing software development timelines with deadlines for vehicle launches. Three challenges, in particular, are driving the automotive industry’s software revolution.

Software Review 59

Software Review Software Developers Software Development Underperforming Technical Team 59

Jeffrey Phillips

FEBRUARY 29, 2024

As more and more emphasis is placed on analytics, management through data, artificial intelligence and other quantitative factors, it's probably time to reinforce the qualitative side of management. You don't control the number of new entrants in your market who aren't concerned about industry stability.

Strategy 167

Strategy Strategy Change Artificial Inteligence 167

Business and Tech

AUGUST 6, 2021

From reduced IT costs and improved uptime, to increased agility and elasticity, to experiencing DevOps-friendly environments, according to recent research from the Cloud Security Alliance (CSA) and AlgoSec. . As a result, they realized the many benefits of relying on them. Protecting assets.

Technical Review 130

Technical Review Training Data Industry 130

Planview

SEPTEMBER 20, 2023

Since 2020, EMC has been leveraging Planview Advisor to help define a more effective portfolio strategy and planning approach and utilize advanced data analysis to help optimize allocation of resources and more efficiently manage remediation and asset retirement obligations.

Agile 59

Agile Technical Review Collaboration Project 59

Moves the Needle

FEBRUARY 27, 2023

To succeed, companies must at some level be digital ready: Development team is agile, with an eye toward making the whole company agile. The PMs will be a conduit for expanding agile beyond Engineering. This is true even in business to business companies and highly regulated industries.

Management 52

Management Agile System Groups 52

Paul Hobcraft

OCTOBER 2, 2023

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

Design Thinking 147

Design Thinking Technical Review Design Technology 147