Strategy, HR, Data and AI
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Strategic Plans Are Less Important than Strategic Planning

Strategic Plans Are Less Important than Strategic Planning | Strategy, HR, Data and AI | Scoop.it
Think of the plan as a guidance tool. The problem for many managers is that their expectations are all skewed from what can be realistically achieved via a strategic plan. Their image is more of the house-plan type or travel itinerary. They anticipate that by doing the necessary analysis and writing down how their business will succeed the world will be converted from uncertain to certain. In their eyes the strategic plan becomes a device for control rather than one of guidance. They’re not comfortable with the fluid and uncertain Moltke-the-Elder concept. This can manifest itself as “we’ve given up on strategic planning.” This emanated from a CEO whose experience in writing “it” all down was that he got it all “wrong” as things changed rapidly. In other similar situations executive teams find themselves simply ignoring any document that is produced.

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David Hain's curator insight, May 2, 2018 4:27 AM

When it comes to strategic planning, the journey is more important than the destination - and the journey never ends!

Strategy, HR, Data and AI
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Rescooped by massimo facchinetti from Marketing Mix
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Why having too many choices is a bad thing

Why having too many choices is a bad thing | Strategy, HR, Data and AI | Scoop.it
Having a lot of choices at our fingertips creates the feeling of FOMO, and that makes us miserable.

Via Oliver Durrer swissleap.com
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Rescooped by massimo facchinetti from Daily Magazine
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The Future Of Work Will Be Told In Pictures

The Future Of Work Will Be Told In Pictures | Strategy, HR, Data and AI | Scoop.it
David Nour on the power and promise of simplifying complex language into visual storytelling, others can understand, embrace and contribute to.

Via THE OFFICIAL ANDREASCY
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Rescooped by massimo facchinetti from Future of Manufacturing - Industry 4.0
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Report: AI In Manufacturing To Grow to $16B By 2025

Report: AI In Manufacturing To Grow to $16B By 2025 | Strategy, HR, Data and AI | Scoop.it
Artificial intelligence in manufacturing is set to grow from $1b USD in 2018 to over $16b USD by 2025, according to a new 2019 report from Global Market Insights.

Via LT-Innovate, Joe Boutte
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AI can predict when someone will die with unsettling accuracy

AI can predict when someone will die with unsettling accuracy | Strategy, HR, Data and AI | Scoop.it
This isn't the first time experts have harnessed AI's predictive power for healthcare.

Via THE OFFICIAL ANDREASCY
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Rescooped by massimo facchinetti from Strategies for Managing Your Business
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4 Practical Steps To Embedding Values In Your Business

4 Practical Steps To Embedding Values In Your Business | Strategy, HR, Data and AI | Scoop.it
We all know the world is changing and individual and embedding values is essential for organisations to operate as they grow

Via Trumans
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Rescooped by massimo facchinetti from iPads, MakerEd and More in Education
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Artificial Intelligence: The Future of Retail and Hospitality

Artificial Intelligence: The Future of Retail and Hospitality | Strategy, HR, Data and AI | Scoop.it
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly changing the way things work, how, and how much we work. This is increasingly noticeable in restaurant ordering and in retail as well as in other industries. Both the retail and the hospitality industries are going to see tremendous innovation and change in the next few years.

Most recently, contributing to this change, Encounter AI created Mai, the world's most advanced voice ordering assistant for retailers and restaurants that also provides accessibility for the blind. 

Via John Evans
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Meet Generation Z: The Newest Member to the Workforce

Meet Generation Z: The Newest Member to the Workforce | Strategy, HR, Data and AI | Scoop.it
As Millennials enter their early-30s, the focus is now shifting to Generation Z - a group that is just starting to enter the workforce for the first time.
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Rescooped by massimo facchinetti from Strategies for Managing Your Business
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The 3 Challenges Every New CEO Faces

The 3 Challenges Every New CEO Faces | Strategy, HR, Data and AI | Scoop.it
Managing their energy, engaging their boards, and getting the right information.

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Rescooped by massimo facchinetti from Data Intelligence
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10 Big Data Trends to Watch in 2019

10 Big Data Trends to Watch in 2019 | Strategy, HR, Data and AI | Scoop.it
We seek ever more data for a good reason: it's the commodity that fuels digital innovation. However, turning those huge data collections into actionable

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How AI Improves Customer Lifetime Value and Makes It a Primary KPI

Customer lifetime value is a big focus for marketers right now. How can you create the most value for your customers & prospects? With artificial intelligence (AI), marketers can uncover what their customers truly want and need to drive value through the entire customer lifecycle.
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Rescooped by massimo facchinetti from Technology in Business Today
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The Future of Artificial Intelligence Apps & Smartphone AI

The Future of Artificial Intelligence Apps & Smartphone AI | Strategy, HR, Data and AI | Scoop.it
The Future of Artificial Intelligence Apps & Smartphone AI We’re already seeing artificial intelligence apps such as Google Lens (camera search) and Netflix (recommendation algorithms), but could app developers be doing more with machine learning and smartphone AI? Let us know your thoughts

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Rescooped by massimo facchinetti from Daily Magazine
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2019 AI Predictions: Six priorities you can’t afford to ignore

2019 AI Predictions: Six priorities you can’t afford to ignore | Strategy, HR, Data and AI | Scoop.it
Businesses have big plans for AI: 20% of US executives surveyed are going all-in this year, rolling out AI across their companies.

Via THE OFFICIAL ANDREASCY
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Rescooped by massimo facchinetti from Technology - Changing Our World
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AI Will Be The Biggest Tech Since the Internet

AI Will Be The Biggest Tech Since the Internet | Strategy, HR, Data and AI | Scoop.it
The internet changed our lives in a few short years. Artificial intelligence is poised to do the same. And 2019 is the year it breaks into the mainstream.

Via Enzo Calamo
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Top CEO priorities in 2019

Top CEO priorities in 2019 | Strategy, HR, Data and AI | Scoop.it
What are the top priorities for CEOs in 2019? We surveyed 156 CEOs to find out. Learn what's most important to them this year.
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3 Recruiting Metrics to Use - and 3 to Ditch

3 Recruiting Metrics to Use - and 3 to Ditch | Strategy, HR, Data and AI | Scoop.it
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Rescooped by massimo facchinetti from Data Intelligence
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Infographic: How Much Data is Generated Each Day?

Infographic: How Much Data is Generated Each Day? | Strategy, HR, Data and AI | Scoop.it
By 2020, there will be 40x more bytes of data than there are stars in the observable universe. See how much data gets added to the mix each and every day.

Via Enzo Calamo, ArrowECS
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Rescooped by massimo facchinetti from Data Intelligence
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Google announces new AI, smart analytics tools

Google announces new AI, smart analytics tools | Strategy, HR, Data and AI | Scoop.it
The new AI tools announced at Google Cloud Next focus on addressing common business challenges like structuring data from documents or forecasting inventory.

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Rescooped by massimo facchinetti from Blue Ocean Strategy
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Why You Should Start Thinking Blue Ocean Strategy Right now

Why You Should Start Thinking Blue Ocean Strategy Right now | Strategy, HR, Data and AI | Scoop.it

Opportunities exist in every industry. Are there any external technologies you could be using in your business to make your product offering more appealing and help your find that blue ocean?


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Rescooped by massimo facchinetti from Technology in Business Today
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Recognition Tech: New A.I can match Face to Body

Recognition Tech: New A.I can match Face to Body | Strategy, HR, Data and AI | Scoop.it
Recognition Tech: New A.I can match Face to Body A Japanese company has developed a system that would be able to identify a person even if they aren't directly facing the camera, according to New Atlas.

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NeXus Portal Solutions's curator insight, February 19, 4:35 PM

Amazing and frightening at the same time

Rescooped by massimo facchinetti from Innovation
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The 100 Most Promising AI Startups You Need To Know

The 100 Most Promising AI Startups You Need To Know | Strategy, HR, Data and AI | Scoop.it
The most promising 100 AI startups working across the artificial intelligence value chain, from hardware and data infrastructure to industrial applications.

Via Christian Bartosik
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Rescooped by massimo facchinetti from Technology in Business Today
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9 Tips to Start Your AI Business 

9 Tips to Start Your AI Business  | Strategy, HR, Data and AI | Scoop.it
Artificial Intelligence (AI) is all around us. From simple calculators to complex flight control systems, AI makes an omnipresent phenomenon that influences almost all aspects of our daily lives. In such circumstances, it’s not so strange to think about launching your own AI company. According to the report, over 80% of businesses say AI is a strategic priority for their organizations. At the same time, the share of jobs requiring AI has increased by 450% in the last five years. These and many other stats prove the growing demand in the field of AI-based technologies. But can you really establish your own business in this field? Do you know the basic steps you need to take before launching a brand new company? If not, you might find this article very interesting as we are about to present you nine tips to kickstart your AI business. AI: Definition and Benefits Before you start learning more about AI in business, you must get yourself acquainted with this concept and the corresponding benefits. By definition, AI represents the capability of a machine to imitate intelligent human behavior. As such, the technology comes with a number of advantages that have the power to substantially improve the way we live and do business. The most important benefits of AI are these: Automation: AI can handle most tasks as accurately as humans, but it can do it much faster and more efficiently. There is no need for boring manual work anymore because the system automates the majority of processes. Business intelligence: Machine learning and neural language processing can derive meaningful conclusions from seemingly unrelated data sources. This drastically improves business intelligence and enables companies to make better decisions. Cost reduction: Automating jobs, AI saves businesses both time and money. Customer service improvements: Modern customer relationship services depend on AI. For instance, proofreading service and cheap writing service both use AI-based chatbots to ensure availability 24/7. Medicine: AI improves healthcare by detecting complex patterns faster than humans, allowing doctors to react promptly and prevent life-threatening outcomes. The number of applications is literally unlimited, but we wanted to highlight the areas where AI already made a significant impact. You know the big picture and now we can go to the next chapter of our post. How to Prepare for Launching an AI Business You can never be too careful when starting a new business, but you have to begin somewhere. That’s why we decided to cut the long story short and present you nine fundamental things to do before launching your AI company. Let’s check them out: Learn about AI If you want to choose the field that suits your professional experience, you need to understand how AI works and learn everything about it. Fortunately, the Internet is filled with valuable online learning resources, so you just have to conduct small research to find the best ones. For instance, there are bases such as Google AI or Stanford Machine Learning course, but you can also consult with AI experts at Australian writer or Brill Assignment. Solve a common problem Once you learn more about AI, you should choose the niche that solves a common problem. The worst thing that could happen is to create a product that has minimal market potential, so make sure there is enough demand before taking any concrete steps. Analyze investments Investment analysis is another important aspect of launching your AI business. Try to answer these questions as precisely as possible: Is it a reasonable project with manageable milestones? Can I accumulate enough money and maintain a healthy cash flow in the long run? If the answers to both questions are satisfactory, you can continue. Organizational demands Budgeting is one thing, but organizational capabilities are something completely different. AI projects demand full focus, a lot of time, and manpower. Can you really handle it? Can you overcome administrative barriers? Think about every little detail of the business because it’s the only way to keep everything under control. Set tangible goals At this point, you should have a clear idea about your AI business and the targeted niche. Now you need to define professional expectations and set tangible goals in terms of product launch, pricing, marketing strategy, and return on investment. That way, you can analyze progress in short, mid, and long-term perspective. Hire experts No matter how much you learn about AI, you still need a team of experts to help you with the execution. You should hire well-experienced AI professionals to lead the development team. At the same time, you need to find marketing specialists to help you with product placement, hire a writer for content creation purposes, and consider adding more stuff to manage other everyday duties. Run a pilot project You don’t have to go “all in” immediately. Instead, you can run a pilot project to see how the first consumers react to your product or service. It’s a trial stage during which you want to identify the strengths and weaknesses of your project. Refresh your database In order to function properly, AI businesses must use clean and accurate sources of information. What does it mean? It means you have to refresh your database by removing duplicates and old entries, allowing the system to function flawlessly and generate the best results possible. Be persistent The last tip on our list is to be persistent and don’t give up. You will be facing a lot of obstacles in this process, so make sure to keep composure at all times – regardless of the competition. Conclusion AI is one of the fastest-growing industries globally, which gives entrepreneurs a huge potential to start their own businesses in this field. However, it’s a demanding and time-consuming process, so you need to be careful and prepare well for the coming challenges. In this post, we showed you the benefits of the new technology and discussed nine tactics to start your own AI business. We hope these suggestions can help you launch a brand new company, but feel free to leave a comment if you need additional explanations – we will be glad to help you out! Peter Hill is working for professional assignment writing services Assignment Masters and Assignment Holic. He is a socially active person, likes traveling and photo/video editing. He also finds himself in writing for online resume writing service Resumes Planet. If you would like to have your company featured in the Irish Tech News Business Showcase, get in contact with us at [email protected] or on Twitter: @SimonCocking

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Star Desta's curator insight, January 25, 6:38 PM
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Rescooped by massimo facchinetti from Daily Magazine
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Demystifying AI, Machine Learning and Deep Learning

Demystifying AI, Machine Learning and Deep Learning | Strategy, HR, Data and AI | Scoop.it
This was the first serious proposal in the philosophy of artificial intelligence, which can be explained as: a science developing technology to mimic humans to respond in a circumstance.

Via THE OFFICIAL ANDREASCY
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Rescooped by massimo facchinetti from Data Intelligence
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Understanding the power of data science

Understanding the power of data science | Strategy, HR, Data and AI | Scoop.it
There is no danger anytime soon of a data drought, but how do we make effective use of what we have?

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Rescooped by massimo facchinetti from Société, Culture Numérique, Innovation
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Le devenir robot de l'humain

Le devenir robot de l'humain | Strategy, HR, Data and AI | Scoop.it
Afin de l'utiliser efficacement, l’humain aligne – consciemment puis inconsciemment – son comportement et sa pensée sur le modèle plus standard de l’IA. C’est un humain qui se robotise par anticipation.

Via Sabrina BUDEL
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