How to Solve the Security Challenges of Digital Transformations by Oleg Diachuk
“Digital transformations is a top-of-mind task on every company’s agenda. Recent data from Tech Pro Research survey proves it: last year 70% of organizations either pursued a digital transformation strategy or are crafting one. Indeed, the pressure to make legacy processes more effective; to meet shifting customer demands; embrace new technological advancements, is mounting. Failure to seek digital transformations in the first place was highlighted as the top business risk for enterprises in 2019 by North Carolina State University’s research.”
Digital imperatives in airport security by Diogenis Papiomytis
“The airport security market is witnessing a revolution, driven by adoption of new screening technologies and intense digitisation of security processes, mainly in passenger and baggage screening. This is part of the overall digital transformation of the airport environment, where most of the key digital transformation projects running at airports worldwide fall within five main digital transformation categories: 1. Data visualisation and analysis 2. Digital infrastructure 3. Passenger and baggage journey 4. Airside operations 5. Administration and asset management. Smart-security projects, though they fall within the largest digitisation category related to the seamless passenger and baggage journey, are enablers of safe and friction-free operations.”
Digital Transformation In Healthcare Is Not Happening As Fast As It Should — And There’s One Reason by Juan Pablo Segura
“At first glance, the healthcare field seems to be a goldmine for digital innovation. An overextended workforce, outdated protocols, hundreds of wasted hours in administrative tasks, a patient population that is wide open to digital solutions, a multitude of inefficiencies and redundancies — the opportunities for digital overhaul in healthcare are myriad. Yet every year the graveyard of digital health tools gets more crowded as innovators fail to overcome healthcare’s uniquely complex barriers to their adoption..”The key tools you need to get started with data science in 2020 by Sergio Infante
“There are a lot of tools for data scientists. Some of these tools are losing popularity and some are becoming better known and more widely used. If I were to prepare a complete list of them, it would be very extensive, and probably not very useful.So, to prepare a more useful list for 2020, I decided to consider these market-driven criteria:The skills requested in job portalsCompany requirements identified in round tables and meetings with Belatrix’s clients.Tool popularity identified by developer surveys and developer portals, such asStack Overflow and others.If you are considering learning about data science projects or wanting to improve your use of data in your organization, there are a lot of reasons why you should concentrate on the following three technologies that are in demand and growing…”
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