How essential is measuring the efficiency and efficacy of industrial digital transformation (dX) solutions across industries today?
KPIs and performance measurements are not new, but a culture of measurement becomes essential for Dx solutions. In many cases, Dx is about transformations taking place in an existing industrial system that has already its established processes. A proposed upgrade is in the challenger position: there will be uncertainty on the value, concerns about risks, skepticism and resistance. A consensus between the different stakeholders involved in a Dx solution can only be reached based on some measurable agreed-upon objectives.
Assessing “efficiency” has several dimensions: while improving performance of a particular operation or quality of its output (speed, productivity, throughput, error and defect rate, etc.) may be at the forefront, other aspects need be measured as well. These aspects have their own objectives: non-functional properties such as security, safety, robustness, flexibility. These properties are harder to evaluate, and take more time. Finally, the impact (or “side effects”) of a solution on other operations must be assessed as well. Only then can we assess in a well-rounded (a well as consensual) manner the value and viability of a solution.
There is an investigation side to deploying Dx. The case for digital transformation is rarely clear from the start. Digital solutions rely on the recent or emerging technologies that may or may not work for the situation at hand. A problem to be resolved may be agreed upon, but its causes may remain obscure.
This story is from the May 2020 edition of DataQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Sign In
This story is from the May 2020 edition of DataQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Sign In
AI Vaccine: It's Out of The Freezer
Security can come in many stripes. AI insurance may sound novel, unusual, and even too early to some people. But with all the GenAI mishaps, hallucinations, bias-errors and jaywalking seen so far- it may be the right time for both insurance players and users to take a shot here. And not the Tequila one.
You add 3, you get 33
Nidhi Srivastava, Head, AI.Cloud Offerings, TCS in conversation with Minu Sirsalewala, Executive Editor, Dataquest, where she spells out how AI scaling will take its own horizontal and vertical paths ahead, and why we are still about to see real winners beyond all the noise and hype.
The Future of Business: How Cloud and AI Are Reshaping Industries
In today's hyper-competitive business landscape, staying ahead of the curve demands embracing cutting-edge technologies. Cloud computing and Artificial Intelligence (AI) are two forces rapidly transforming how companies operate and compete. But harnessing their full potential requires careful integration. This is where the hidden complexities arise, particularly in data management. Our interview with Anant Adya, EVP and Service Offering Head at Infosys, sheds light on these challenges and explores how businesses can navigate a successful cloud and AI transformation journey.
Trust and Security- It's all about 'grounding' of data
At the Salesforce World Tour Essentials India 2024 in Mumbai recently, Deepak Pargaonkar, VP, Solution Engineering, Salesforce India unpacked some doubts, scenarios, possibilities and realities that emerge wherever data and security, information and trust, intelligence and safety intersect. Excerpts.
Championing Diversity and Security: Jenny Brinkley on AWS's Strategic Vision for Cybersecurity
Key Insights from Jenny Brinkley on AWS Security Strategies and DEI at AWS re:Inforce 2024
Technology Beyond 'Code Blue'
Technology for preventive healthcare. Don't come to us - says this healthcare major. Possible? How does that work?
The Data Airlift- From Choppy Skies to an Al-steered Future
There is a 'g' in Air India's flight in the AI firmament. It stands as much for Generative AI as it does for the polite-yet-reliable posture that this Indian aviation front-runner has always been synonymous with. World's first Gen AI Chatbot for an airline and a data-savvy Maharaja- looks like Air India is all set for a 'wheels up' moment on the tech runway. And with tight seatbelts on - when it comes to data safety, trust and security.
India's Data Privacy Landscape: A Balancing Act
The Indian Digital Personal Data Protection (DPDP) Act 2023 aims to bridge the gap between the stringent EU GDPR and the fragmented US privacy laws. By emphasizing consent and transparency while allowing flexibility for legitimate data uses, the DPDP Act seeks to protect personal data, empower individuals, and foster innovation, positioning India as a global leader in data protection and digital economy growth.
CXOs on High Alert: Tackling Cybersecurity in the Age of AI
The rapid advancements in generative AI technologies have significantly impacted the cybersecurity landscape, presenting both opportunities and challenges for CXOs. As cybercriminals leverage AI to develop more sophisticated attacks, business leaders are prioritizing robust cybersecurity strategies to protect their organizations' data and assets. Understanding and addressing the implications of generative AI in cybersecurity has become essential for effective risk management and organizational resilience.
Conquering the Security Trifecta: Top CISO Concerns and some actionable recommendations
CISOS are the guardians of an organization's digital fort. They face a relentless barrage of threats, from ever-evolving cyber-attacks to the ever-expanding attack surface created by cloud adoption and remote workforces. Securing both IT and OT environments requires a multifaceted approach that addresses unique vulnerabilities and fosters collaboration across traditionally siloed departments.
