Machine Learning & Business

A Future Prognosis

Athena @ Shaping Tomorrow

30 May 2023
Introduction
This set of automatically curated slides provides an instant overview about possible futures to help inform present day strategy, and for you to act on opportunities and risks and mitigate threats in a timely manner. Learn more.

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Contents
User Guide
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Sources
RSS Feeds
Twitter Searches
Web Searches
Twitter Feeds
World Outlook
Main factors that cause something to happen globally
Machine learning reflects the uncertainty inherent in the world because it learns from real-world data, so business leaders hoping to employ machine learning and AI will need to get comfortable with the fact that AI predictions are not deterministic. Forrester
When refined through analytics, machine learning and artificial intelligence data have the potential to transform businesses and ultimately the global economy. Entrepreneur
The Global 1000s are now aggressively integrating Artificial Intelligence and Machine Learning practices and technology into their core business processes, creating new products and services that were impossible to even imagine previously. insideHPC
Global regions, coloured according to number of forecasts
SWOT
Strengths
  • Leveraging the power of AI and machine learning, establishing secure networks and access controls, and implementing a strong cybersecurity culture can all help mitigate the risk of cyber attacks and ensure the continued success of your business in 2023 and beyond. Tech Spot Guruji
  • Picterra, a Swiss company that has developed a machine learning platform that allows businesses to extract insight from earth observation imagery, is looking to take advantage of the opportunity to alleviate risks on a worldwide scale. list23.com | List23: Latest U.S. & World News
  • Io' s machine learning automation is combined with the strength of WhatsApp Business API and, brands will now have an end-to-end solution for developing and strengthening their customer experiences. IndiaTV News
Weaknesses
  • If UK businesses are not able to speed up their adoption of AI-like technologies, such as machine learning and automation, companies will find it difficult to achieve their ambitious goals for sustainability. ZDNet
  • Over the next five years, business leaders plan to shift their focus to more intensive use of Robotic Process Automation, machine learning, and digital twin technologies, which is a rapidly growing area that simulates business processes and strategies at scale without the real-world waste. Microsoft News Centre UK
  • As a result of widespread misconceptions about artificial intelligence and machine learning, along with poor planning and execution, more than 90% of industrial AI/ML projects involving science will fail to achieve their business objectives in 2022 and will consequently generate a negative ROI. Toolbox
Opportunities
  • CallMiner, a provider of conversation intelligence solutions that drive business performance improvement, has announced that it will expand its use of Microsoft Azure artificial intelligence and machine learning as a Microsoft partner. Top CRM and Customer Relationship Management, Vendors,
  • Data Computing & Processing: Worldwide revenues for Big data and Business Analytics are estimated to grow with a compound annual growth rate of 12.3% p.a. up to 2027 fueled by new technology in cloud computing, artificial intelligence, and machine learning. Cantor Fitzgerald
  • In an age of global demand for skilled workers and specialised materials, the successful utilisation of machine learning will deliver unprecedented efficiency improvements to engineers and businesses. The AI Journal
Threats
  • IBM Watson for Cybersecurity is an AI-powered cybersecurity platform that uses machine learning algorithms to help businesses detect and respond to cyber threats. Digital Marketing Stream
  • For businesses that prioritize data security and want to elevate data privacy in 2023 and the years to come, generating synthetic data with the help of AI and machine learning might be the most cost-effective solution. Datafloq
  • In the world of cybersecurity, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals with nothing but time on their hands to break algorithm-based defences. Arctic Wolf Networks
Influencers
Countries
Cities
People
Organizations
S-Curve

A framework that describes a 4-phase level of maturity to help determine potential and inform innovation strategy.

Weak
artificial intelligence, data science
Emerging
artificial intelligence, algorithm, automation, cloud, company, SME
Maturing
airline, analytics, consumer, data, machine learning, partner
Declining
artificial intelligence
Sentiment
Past Year: Stable
Compare changing sentiment to a benchmark of all forecasts
Machine learning reflects the uncertainty inherent in the world because it learns from real-world data, so business leaders hoping to employ machine learning and AI will need to get comfortable with the fact that AI predictions are not deterministic. Forrester
Data Computing & Processing: Worldwide revenues for Big data and Business Analytics are estimated to grow with a compound annual growth rate of 12.3% p.a. up to 2027 fueled by new technology in cloud computing, artificial intelligence, and machine learning. Cantor Fitzgerald
PEST
Political
Economic
Social
Technological
  • AI and machine learning will have a significant impact on their business over the next three years. Datafloq
  • By working more deeply with AWS' broad cloud services, Experian will be able to apply machine learning and analytics across its large stores of consumer and business data to better identify trends and insights that could inspire and fuel new services for customers. / Ireland Futurum Research
  • Shopify, a global platform that helps small businesses set up online, uses machine learning to anticipate when merchants need funding and proactively offers it. IDG connect
Financial Impact
Certain machine learning and AI models that were once only accessible to tech giants such as Google and Facebook will become more readily available to mid-sized businesses in 2022 due to a rise in off-the-shelf options. Forbes
For BlackBerry and its valued customers, such as Leibold & Amann, relying on state-of-the-art machine learning and artificial intelligence to predict and actually prevent damaging attacks is the right approach to successfully defeat ransomware, reduce risk, and ensure business continuity and growth. Blackberry
Click on the dots or the lines to see the connections
System Map
Organizations
Sectors
Cities
Countries
People
Scenarios
Creates plausible alternative futures of what can happen and encourages development of a robust, agile response
In 2023, 60% of global 2000 businesses will deploy AI and machine learning tools to support the entire employee life cycle experience. businessnewsdaily.com
Abstract: According to the main international reports, more pervasive industrial and business-process automation, thanks to machine learning and advanced analytic tools, will unlock more than 14 trillion USD worldwide annually by 2030. arXiv.org
By 2023, 60% of the top 2,000 businesses worldwide will deploy AI - and machine learning-enabled platforms to support the employee life cycle from onboarding through retirement. Computerworld
Warnings
Changing proportion of published forecasts
Jaguar Land Rover, which wants to become an electric-first business from 2025, yesterday announced a jobs portal for displaced technology workers to fill 800 roles spanning self-driving, electrification, machine learning and data science. The Times
Solutions
Know how others are tackling issues with this topic
In an age of global demand for skilled workers and specialised materials, the successful utilisation of machine learning will deliver unprecedented efficiency improvements to engineers and businesses. The AI Journal
In the world of cybersecurity, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals with nothing but time on their hands to break algorithm-based defences. Arctic Wolf Networks
Businesses are setting up what Gartner calls identity threat detection and response tools, and AI and machine learning will support some of the most powerful ones. RTInsights
Key topics
Extremes
Investigate what’s transforming or collapsing
What's Next
Changing proportion of material mentioning future years
AI and machine learning will have a significant impact on their business over the next three years. Datafloq
As payment methods evolve and technology advances in the coming years, fraud prevention will rely more on machine learning and artificial intelligence and less on human manual review, making platforms with intelligent automation critical to the success of businesses. Security Boulevard
Questions
Can?
How can machine learning be used in businesses? Nerd For Tech
How can businesses overcome the challenge of a lack of machine learning knowledge in their decision-makers? Analytics Vidhya
How can Machine Learning help businesses improve their cybersecurity? https://informationsecurity.report/
How?
What we are starting to see now is banks starting to think about how can they, in a big way, transform by consolidating onto single platforms, moving to centers of excellence across business, and bringing in more AI and machine learning and new techniques? The Protiviti View
How might emerging technologies such as virtual health, increased computing power from cloud, artificial intelligence, and machine learning be combined with new business models to create more resilience in our health care systems? Deloitte United States
How can marketers start to encourage the entire business function to support investment in machine learning? Mumbrella
What?
What are the benefits of using IoT and machine learning in business? FinExtra
With new developments such as powerful artificial intelligence and machine learning coming within reach of every business, what does the future hold for this technology? https://www.insightsforprofessionals.com
Expert Consensus asked the question What are the criterion needed for a company to derive maximal value from the application of Machine Learning in a business problem? GAVS TECHNOLOGIES
Will?
How will this rapid advancement in machine learning benefit industries and business? LINE//SHAPE//SPACE
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