The impact of artificial intelligence on businesses can be defined and attributed to four different categories: Efficiency - Effectiveness - Experience - Evolution.
#Infographic by @antgrasso#AI#DataScience#DigitalStrategy
To enable digital transformation, software engineering leaders must cultivate the right talent, deliver compelling software and digital products, and install a flexible digital platform.
Source @Gartner_inc Link https://t.co/2lxvAUqoFG via @antgrasso#DigitalTransformation
The evolution of Data Analytics from 1990 to the present and beyond. The infographic shows three major eras of intelligence and their dominant characteristics and success factors.
Source @EckersonGroup Link >> https://t.co/L1woaAfelU via @antgrasso#Analytics#AI#DataScience
Building an AI system is a careful process of reverse-engineering human traits and capabilities in a machine and using its computational prowess to surpass what we can.
Source @Great_Learning Link https://t.co/0t2WgE734w via @antgrasso#AI#DataScience#MachineLearning
RPA is made up of three core technologies: workflow automation, screen scraping, and AI. The unique combo of these technologies allows RPA to solve the productivity challenge of manual desktop tasks.
Source @IBM Link https://t.co/ORXlVF5ejc via @antgrasso#Automation#RPA#AI
A “significant” cyber-attack refers to a hack into a country’s government agency, a defense or high-tech company, or a crime with losses of more than $1M. Below are the most significant cyber attacks.
Source @VisualCap Link https://t.co/p8p8VmRhxp via @antgrasso#CyberSecurity
The IoT transition is a long process that requires careful deliberation. Here is the Industrial IoT maturity model proposed by @ixoncloud.
Link >> https://t.co/8nS6bgejt9 via @antgrasso#IoT#IIoT#Industry40
DataOps techniques can provide a more agile and collaborative approach to building and managing data pipelines.
Source @Gartner_inc Link > https://t.co/tlRlXyUkrk via @antgrasso#DataOps#BigData#Analytics
As evidenced by businesses’ increased use of Cloud Computing over recent months to communicate and access work remotely, the reliance on the public cloud will continue to grow.
Source @raconteur Link >>> https://t.co/mkpKOLkgox via @antgrasso#CloudComputing
The core of Industry 4.0: The PDP loop (physical-to-digital-to-physical). A continuous and cyclical flow of information and actions between the physical and digital worlds
Source: @Deloitte Link > https://t.co/MaNMpthUCE via @antgrasso#Industry40#IoT#IIoT
Industrial companies are using artificial intelligence to improve plant operations. To be successful, they will need to transform their data with the help of domain experts.
Source @McKinsey Link https://t.co/e1duq8wqUk via @antgrasso#BigData#AI#DataScience
Privacy, Personal Data, Sensitive Information, and Biometric Data. How many types of data - existing or generated - need protection? @Deloitte thinks they can be classified into eight categories.
#infographic by @antgrasso#Privacy#DataProtection
With Cookies Crumbling, retailers and other consumer companies are pressed to rethink how they handle personal data and deploy digital marketing.
Source @BainAlerts Link https://t.co/bN4eW9Vb9J via @antgrasso#DataGovernance#DigitalMarketing#MarTech
Deploying AI in the heavy industry requires cross-functional teams made up of operators, data scientists, automation engineers, and process experts.
Source @McKinsey Link https://t.co/e1duq8wqUk via @antgrasso#AI#IIoT#DataScience#IoT
Optimizing technology spending can serve businesses well during crises and boom times, helping them realize savings, reduce technical debt, and transform business models without sacrificing capabilities or quality.
Source @WSJ Link >> https://t.co/EBaUmPHKQz v @antgrasso#CIO
Artificial intelligence in the hands of cybercriminals poses an existential threat to organizations. IT security teams need “defensive AI” to fight back.
Source @MIT@techreview Link https://t.co/cj24lbPBv5 via @antgrasso#CyberAttack#CyberSecurity#AI
Shifting from a back-office to a "center office" mindset requires a shift from transaction execution to business outcome delivery by providing impactful insights and frictionless services.
Source @DeloitteInsight Link >> https://t.co/0suzVt1ZO4 via @antgrasso#leadership#CEO
The Data-Centric philosophy involves moving data management responsibilities from the application tier to the data tier — and security is no exception.
Source @FlureePBC Link https://t.co/61F4FTKJNz via @antgrasso#DataSecurity#DataGovernance#IAM