Cloud computing and containerization are two technologies that directly impact a CIO's core responsibilities: delivering IT services efficiently and effectively for the business. Beyond their technical implications, these technologies represent a strategic shift toward meeting business needs for agility, scalability and faster innovation. Striking a balance between opportunities and
Tag: data culture and literacy
It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.”
Large language models (LLMs), like ChatGPT and Microsoft Copilot, have moved quickly out of the novelty phase into widespread use across industries. Among other examples, these new technologies are being used to generate customer emails, summarize meeting notes, supplement patient care and offer legal analysis. As LLMs proliferate across organizations,
Some nights, as a CIO, I don’t sleep well. The reasons are probably similar to what gives my other CIO peers restless nights, too. Because AI and other technologies continue to advance at a dizzying pace, I’m constantly weighing the opportunities for technology to transform our business against the challenges
Synthesizing data? Who does that? Aren’t we supposed to be running the experiments and measuring things to produce real data? While generally true, there are scenarios in which the use of generative AI (GenAI) is beneficial. Let’s explore the benefits via “what if” scenarios. Before we begin, it’s important to
The Co-Founder of Ladies Learning Code and Canada Learning Code talks about strides in Canadian computer science education, AI, the future of coding, and more. Companies use many legacy processes to empower their employees, and that's just one of the many barriers employees face in the workplace. Organizations that prioritize
Trustworthy AI is dependent on a solid foundation of data. If you bake a cake with missing, expired or otherwise low-quality ingredients, it will result in a subpar dessert. The same holds for developing AI systems to handle large amounts of data. Data is at the heart of every AI
Careers in risk management can be rewarding. The disciplines are key to a broad range of industries. Risk management teases the analytical side of the brain and there is a clear line of contribution between the work and the organization's performance. Careers in risk management are also shrouded in mystery
Data quality is a cornerstone for integrating large language models (LLMs) into organizations. The adage "garbage in, garbage out" holds particularly true here. High-quality data is the lifeblood that ensures the accuracy, relevance, and reliability of the model's outputs. In a business context, this translates to insights and decisions that
While large language models (LLMs) have become synonymous with advanced AI capabilities, their integration into various business and technological domains is often accompanied by significant costs. These costs arise from the extensive computational resources required for training and running these models. However, traditional natural language processing (NLP) techniques offer a
Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets
As organizations infuse trustworthy practices into the fabric of AI systems, remembering that trustworthiness should never be an afterthought is important. Pursuing trustworthy AI is not a distant destination but an ongoing journey that raises questions at every turn. For that, we have meticulously built an ethical and reliable AI
If your organization aims for longevity, resilience is a muscle you want to build. The 5 Resiliency Rules: Speed and agility Data culture and literacy Curiosity Innovation Equity and responsibility I know resilience has been a hot topic in recent years, and for good reason – it can make or
As nations gear up to transition to more intelligent job prospects, organisations seek to excel in pioneering job markets, particularly in the technology sector. Recognising and harnessing the talents of students is crucial for this to succeed. This means providing the right education, hands-on training, and mentorship from academic and
Large language models (LLMs) are at the forefront of today’s AI, not merely as technological marvels but as transformative agents reshaping how businesses innovate, operate and deliver value. Think of them as the wizards of words, capable of understanding language and transforming it in ways that benefit organizations. However, as
Well, it’s finally happening. After years of banter, Google began testing a feature called Tracking Protection on Jan. 4. This feature is designed to limit cross-site tracking via third-party cookies. It will be rolled out initially to 1% of all Chrome users, about 30 million people globally, with all users
Educators in Ohio from Jackson City Schools and the Gallia-Vinton Educational Service Center (ESC) are using SAS Education Visualization and Analytics Solution (EVAAS) for K-12 to enhance data-driven problem-solving for students. In a recent SAS customer success story, Changing the Data Conversation in Ohio Schools, the administration from Jackson Middle
In today’s competitive marketplace and quickly evolving technological landscape, keeping knowledge current and developing hard skills has become more important than ever – and students and professionals alike are searching for opportunities to stand out from the crowd. In the analytics space, many are turning to career certificates in data
In the classrooms of South Africa, students are learning how to code with hopes of creating future opportunities for themselves. Coding4Mandela, an initiative honoring Nelson Mandela, strives to instill coding and technological skills in youth. The belief is that empowering young minds with digital literacy enhances their educational and professional
If the last few years have taught us anything it’s this: business disruptions are not rare events. They are the norm. Today’s business leaders are grappling with logistics nightmares, economic upheaval, evolving consumer preferences, rapid technological advancements, regulatory changes, and armed conflicts. While it’s not possible to plan for every
Katie King has interviewed subjects from many walks of business life for her books: academics, venture capitalists, executives from high-profile brands and telecommunications companies. Among them, one that made a lasting impression was an artist: Ai-Da. King interviewed the artificial intelligence-powered humanoid robot artist for her 2022 book AI Strategy
More than spreadsheets and formulas, data analytics combines technology, creativity and strategic thinking to help diverse industries make innovative discoveries and leave an impact where it matters most. Even historically, non-technical industries like agriculture, for instance, are tapping into data management and visualization to predict and reduce their carbon footprint
I recently had two incredible opportunities: to visit the White House for a landmark executive order signing and to make remarks at a US Senate AI Insight Forum. The AI Insight Forum was part of a bipartisan Congressional effort to develop guardrails that ensure artificial intelligence is both transformative and
The ability to analyze and derive insights from vast amounts of information is invaluable. As industries increasingly rely on data-driven decision-making, there is a growing demand for professionals with expertise in applied analytics. To bridge this skills gap, academic institutions seek innovative ways to provide students with hands-on experience. Integrating
Much of the discussion around how to manage the advanced forms of artificial intelligence—machine learning, generative AI, large language models—deals with them only as technologies. This is a mistake. Like any employee, AI must be onboarded to learn "how we do things around here." Advanced forms of AI have characteristics
This summer, SAS Academic Programs recognized four faculty members from across the country for their excellence in teaching data analytics. Awardees of the SAS Distinguished Award and the Emerging Educator Award received plaques at the SAS Summer Educator Conference, where they participated in a panel discussion about their experience teaching
SAS' long-standing commitment to academia and finding innovative applications for analytics to solve real-world problems is a core pillar of our purpose. In 2022, we introduced our first cohort of students from the University of New South Wales (UNSW) in Australia working with SAS' thought leaders to explore the work
Embracing AI is wonderful. From a practical business perspective, though, there are limits. This issue is broader than AI. However, I’ll constrain the conversation to that for now, given the attention AI is getting these days. Yes, some processes are undoubtedly good candidates for automation, but avoiding “technocentrism” is critical to
In a world where technology is a cornerstone of society, opportunities in the tech sector should be within reach for all. Yet, for many people, education, resources and access barriers stand in the way. According to research by McKinsey, Black people make up 12 percent of the US workforce but only
Congratulations! You’ve been tasked to manage an analytics team within your organization. In this role, it’s crucial to establish effective management practices to lead a successful team. As a manager, your role goes beyond overseeing day-to-day operations; it involves fostering a collaborative and productive environment, nurturing talent and aligning your