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What do professional software developers need to know to succeed in an age of Artificial Intelligence?

Kam, Matthew, Miller, Cody, Wang, Miaoxin, Tidwell, Abey, Lee, Irene A., Malyn-Smith, Joyce, Perez, Beatriz, Tiwari, Vikram, Kenitzer, Joshua, Macvean, Andrew, Barrar, Erin

arXiv.org Artificial Intelligence

Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & knowledge to be a successful AI-enhanced developer are organized into four domains (using Generative AI effectively, core software engineering, adjacent engineering, and adjacent non-engineering) deployed at critical junctures throughout a 6-step task workflow. In order to "future proof" developers for this age of AI, on-the-job learning initiatives and computer science degree programs will need to target both "soft" skills and the technical skills & knowledge in all four domains to reskill, upskill and safeguard against deskilling.


Former House China hawk warns Americans about the dangers of the CCP's growing technological dominance

FOX News

The former chairman of the House Select Committee on the Chinese Communist Party warned about a fast-moving software and technology race between the United States and China, arguing the weaponization of supply chains could force a showdown between the free world and its totalitarian rivals. Former Rep. Mike Gallagher, R-Wis., told Fox News chief political anchor Bret Baier about a Wall Street Journal (WSJ) op-ed he wrote Sunday, outlining his concerns about China's growing technological dominance. "On the modern battlefield, we need to not only know our adversary but know ourselves and map our supply chain in great detail," he said Monday on "Special Report." Gallagher, the head of defense for Palantir Technologies, a Denver-based software company, highlighted how China could use its manufactured port cranes across the world to disrupt international commerce if the United States were to get into a conflict with China over Taiwan. "The Biden administration recently warned that Chinese-made port cranes could be'controlled... from remote locations.' European companies found that Chinese groups may have gained access to the systems that control cargo ships. Billions of endpoints connect to the internet, including sensors and devices that physically interact with critical infrastructure. Anyone with control over a portion of the technology stack such as semiconductors, cellular modules, or hardware devices, can use it to snoop, incapacitate or kill," he wrote in the WSJ.


More Than Search: The AI Arms Race Is About The Tech Stack

#artificialintelligence

BRAZIL - 2022/05/20: In this photo illustration, the Adobe Inc. logo seen displayed on a smartphone ... [ ] screen. All eyes are on the AI arms race, pitting Microsoft's Bing against Google's Bard in a clash of the Titans showdown competing to re-invent how we search for information and what Web browser we do it on. It's a competition fueled by Generative AI advancements poised to reinvent our relationship with technology. In my last column--I described this seismic shift as a move toward "Conversational Computing," citing that any online interaction that should be a conversation will become one. However, there's another aspect of the broader AI arms race that we need to be paying close attention to the race to augment the tech stack organizations use for productivity.



Data Scientist at Satori - Remote job

#artificialintelligence

Satori is an Analytics Agency made with one simple vision: to give clarity in decision making through data analytics. Whether it's a cloud-based big data ecosystem for a global fintech or a machine learning model predicting churn for a leading airline group, Satori develops cutting edge analytics solutions, providing real value to its clients. Services cover the whole data lifecycle from ingestion and warehousing to ML and AI applications. Satori is a scale-up, well on track to become the leading data and analytics company in South-Eastern Europe and already a 65 specialized tech team, consisting of Data Engineers, Data Scientists, Software Engineers, QAs, and CRM Specialists, delivering innovative data, tech, and customer experience solutions. The majority of our clients are household names and global brands in FMCG, retail, ecommerce, financial services, and travel, with a footprint in Greece but also across Europe and beyond.


Gartner research finds no single tool protects app security

#artificialintelligence

Did you miss a session from MetaBeat 2022? Head over to the on-demand library for all of our featured sessions here. Overcoming the challenges of securing devops and software supply chains from malicious, unpredictable attacks with new technologies dominates Gartner's latest Hype Cycle for Application Security. One of the most concerning insights this year's hype cycle shed light on is that no single application security innovation can deliver comprehensive security. In light of this, CISOs are also forcing the consolidation of their tech stacks to improve their teams' efficiency at identifying risks while reducing costs.


How industrial hyperautomation could transcend buzzword status - Smart Futures

#artificialintelligence

On the face of it, it's difficult to see why the idea of hyperautomation is especially relevant to industrial automation as it exists in the real world. But Neil Ballinger, general manager EMEA of replacement, reconditioned and obsolete automation parts EU Automation, believes there's an opportunity for early adopter businesses to outpace the rest. There are two worlds of automation. One is the conservative, day-to-day, pick-and-place, realm, where countless businesses still play. Here, the idea of automating a process with a robot or collecting some data from a machine to perform advanced analytics is still quite radical.


Nabla opens a health tech stack for patient engagement – TechCrunch

#artificialintelligence

After setting out to examine digital healthcare from the inside by launching its own women's health clinic as an app last year, French startup Nabla is executing the next step in a planned pivot to b2b -- announcing today that it's opened its machine learning tech stack to other digital health businesses and healthcare providers so they can offer what it bills as "personalized medicine". Nabla's AI-powered patient communications and engagement/retention platform is designed to support clinicians to deliver a more continuous, data-driven service, whether the client is offering real-time telehealth consultations or delivering a service to patients via asynchronous, text-based messaging. Nabla's messaging and teleconsultation communication modules sit as a layer atop the customer healthcare service, ingesting and structuring patient data -- with its machine learning software supporting clinicians with real-time prompts and visualizations, as well as offering ongoing patient outreach features to extend service provision. The startup argues its approach can improve medical outcomes by supporting healthcare professionals to be able to ask relevant questions during a consultation, based on the AI's ability to aggregate patient activity and surface contextually relevant data -- and afterwards, with features like automated transcription and by suggesting updates a clinician could make to a patient's medical file. It likens the platform's capabilities to having a really attentive family doctor who knows their patient's full medical history and situation -- and has a fault-less memory for all that detail.


Iterative launches MLEM, an open-source tool to simplify ML model deployment – TechCrunch

#artificialintelligence

MLOps platform Iterative, which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. The idea here, the company says, is to bridge the gap between ML engineers and DevOps teams by using the git-based approach that developers are already familiar with. Using MLEM, developers can store and track their ML models throughout their lifecycle. As such, it complements Iterative's open-source GTO artifact registry and DVC, the company's version control system for data and models. "Having a machine learning model registry is becoming an essential part of the machine learning technology stack. Current SaaS solutions can lead to a divergence in the lifecycle of ML models and software applications," said Dmitry Petrov, co-founder and CEO of Iterative.


How AI can close gaps in cybersecurity tech stacks

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Gaps in cybersecurity tech stacks, especially in endpoint security and patch management, are increasingly leaving enterprises vulnerable to attacks. CISOs are focusing on how to drive new digital revenue strategies while reducing risk and protecting virtual workforces amidst the various threats. From cybercriminal gangs trying to recruit AI engineers, to state-funded Advanced Persistent Threat (APT) networks capable of simultaneously launching attacks across multiple attack vectors, cybercriminals are getting smarter all the time. Studies of job ads on the dark web show that those who know how to breach web services, have AI-based hacking skills and can capture privileged access credentials are the most in-demand.