MLOps includes the engineering field that specializes in scaling and standardizing the ML lifecycle, ensuring the success of ML models on production systems by applying best practices to ML infrastructure, code, and data.
By Aaron Ploetz, Product Manager, DataStax – Today, online retailers sell millions of products and services to customers all around the world. This was more prevalent in 2020, as COVID-19 restrictions all but eliminated visits to brick-and-mortar stores and in-person transactions. Of course, consumers still needed to purchase food, clothing, and other essentials and, as a result, world-wide digital sales channels rose to the tune of $4.2 trillion, up $900 billion from just a year prior.
The largest European cloud hosting provider since 2011, OVHcloud is on a mission not only to achieve a zero carbon footprint by 2030, but to do so both for its cloud solutions and services as well as its award-winning servers.
Advanced AI features are built into every modern car, making vehicles safer and more autonomous. IT organizations that deploy a similar end-to-end AIOps framework can improve uptime and unlock cloud operational agility.
By Haider Pasha, CSO, Palo Alto Networks – As the world races toward recovery, boards of directors across companies of all sizes are trying to figure out what’s next. And an increasing part of that “next” relates to security. As a result, many boards find their relationship to cybersecurity has been changing.
For most organizations, determining total cost of ownership (TCO) for cybersecurity is no easy task. In fact, lowering cybersecurity costs while simultaneously reducing risks can be even harder. However, there is a way forward for leaders who are working to optimize their investments—and it’s all about managing risks, resources and time.
By Matt Chiodi, Chief Security Officer, Public Cloud, Palo Alto Networks – One of the most common misconceptions among organizations entering a cloud transformation journey is the belief that securing workloads in the cloud is the same as securing workloads on-premises. In reality, that’s just not the case.
In a socially distanced world, having separate silos is important—but the same is not true when it comes to modern software development. Silos within organizations hinder the digital transformation that is an absolute existential necessity today. Developers once commonly operated in their own silos, but that has changed in recent years with the onset of DevOps.n
Security operations centers – the units that manage overall cybersecurity within an organization – have been getting a workout during COVID-19. Many organizations moved their SOC staff to remote work within days of coronavirus being declared a pandemic.
By Anand Oswal, Senior Vice President and GM, Palo Alto Networks – The internet of things, more commonly known as IoT, has arrived in the enterprise in a really big way. That should come as no surprise because the potential benefits are immense. Whether it’s the building sensors, surveillance cameras, point of sale systems, or conference room technology, IoT is on the network helping to enable digital transformation.
A CarbonNeutral certified company, UKCloud offers a multi-cloud portfolio designed to address the unique needs of government agencies that require absolute data sovereignty and reliability – all while helping them achieve their sustainability goals.
The current business environment is plagued by palpable and overwhelming uncertainty. Just think of the breadth of challenges leaders must face on a regular basis: Is the pandemic going to irreversibly alter the competitive landscape? How might climate change affect our customer base, supply chain, or operational capabilities? Could a poorly funded start-up rapidly leapfrog our offerings by gaining access to cheap capital?
While much of the industry focus is rightfully on new advancements in predictive analytics that are driving business value, it is becoming increasingly clear that architecture and data teams are working equally hard to enable this data with more modern data architecture and new data sets.
Not all platforms are created equal. There are three crucial questions every buyer needs to ask before investing in analytics, and they center around value, stakeholders and the total cost of ownership (TCO).
Sited at the convergence of big data, AI, and human capability, Performance Intelligence leverages analytics for powerful growth and sustainable operations, writes Rob McGreevy, EVP Operations Business at AVEVA.
Demand for instant access to financial data from investors and traders around the world has shaken up the financial services industry, and Nasdaq, a pioneer in digitizing the trading process, continues to innovate for customers seeking mobile-first, real-time, mission-critical analytics. Its approach involves embracing the cloud, data and analytics, and an API-first mindset.