The technology services market is constantly changing. As the COVID-19 pandemic showed us, the technology services players who were ready to adapt their business models, were ultimately better prepared. Remote working became the norm and overnight technology service providers became ready to change their processes and created new ways of collaborative working. As the pandemic and many countless disasters or challenges in the past have shown us, change is the only constant, and it is vital to differentiate in what is clearly a crowded technology services market. Observability With soaring IT complexity, it is increasingly becoming important for technology service providers to have a deep understanding of their highly distributed application topologies and dependencies.

TELMEX Scitum, Mexico's leading cybersecurity services company, adds SentinelOne's Singularity Identity Suite to its portfolio following its acquisition of Attivo Networks. Identity threat detection and response (ITDR) is a new category of security designed to protect the users and systems which access corporate networks and data. "TELMEX Scitum's SentinelOne practice highlights them as leader and innovator in helping organizations manage modern risk." Identity-based attacks are on the rise, and today's organizations benefit from preventing and detecting when attackers exploit, abuse, or steal business identities. Attackers are increasingly using credentials and taking advantage of Active Directory (AD) to advance their malicious campaigns.

Interest in an artificial intelligence "to-go" delivery model is building with more than a dozen Department of Veterans Affairs sites looking to pilot modules, the agency's head of AI said Thursday. VA developed the initial module to assist its medical centers with COVID-19 individual risk prediction, but its hundreds of centers and thousands of facilities have other uses for the statistical models being tested, said Gil Alterovitz, VA's director of AI. Additional use cases haven't been chosen, but AI models will be packaged as embeddable software add-ons for rapid deployment based on the original. "We're now using that to generalize and essentially created a new platform so that artificial intelligence research and development can be added as modules in the future," Alterovitz said during day three of FedTalks, presented by FedScoop. Once the AI technology and health application have been vetted, any medical center will be able to access a module when VA shares a secure, internal weblink.

Artificial intelligence is all around us, from our phones to our light switches. There's no arguing that AI makes our lives easier. The next step in the AI revolution is automating your IT Help Desk management with artificial intelligence. Join Manish Sharma, C.O.O of Actionable Science, as he navigates through the challenges of IT Help Desks and how next generation of Virtual assistants can provide auto resolutions to the most common IT issues.

Tata Consultancy Services' Capability Across Consulting, Technology, and Services, MFDMTM, and Investment in Next-Gen Technologies, Cited as Key Strengths Tata Consultancy Services, a leading global IT services, consulting and business solutions organization, has been recognized as a Leader in the Everest Group PEAK Matrix for Multi-Process Human Resources Outsourcing (MPHRO) Services. Additionally, it was named a Star Performer for having top quartile year-on-year improvement in its scores. The report highlights TCS' Machine First Delivery Model (MFDM) that leverages digital technologies such as automation, analytics and cloud to drive digital transformation and help customers achieve their business outcomes. It says that TCS' capability across consulting, technology, and services, serves as one of its key strengths and has enabled it to win multiple deals. According to the report, the company has invested heavily in next-generation technologies and has successfully operationalized RPA, chatbots, and analytics in its HR services.

If you enjoyed this content, please share! As we've been at pains to describe elsewhere, hype hurts AI. Add to that a busy legal AI vendor space – some 67 "AI" products in 11 verticals by one count in 2018. Most buyers of legal AI products are left confused in terms of what to ask AI vendors in order to understand what to buy. Dollop lashings of "Robot Lawyer" articles replete stock photo of gavel wielding android and it's no wonder some AI vendors play fast and loose, whether deliberately or by omission, with their product claims. This article provides 17 basic questions you can use to test the knowledge of AI vendors (or experts) regarding AI and whether what they are selling / telling you is right for your need. This article is not meant to be exhaustive, nor demonstrate how to authoritatively benchmark one tool vs. another – hopefully we can cover that in a later post! For now, these are indicative of the types of things should try to know about AI vendors to help you make the right decisions.

Amazon SageMaker, Microsoft Azure ML Services, Google Cloud ML Engine, IBM Watson Studio are examples of ML PaaS in the cloud. If your business wants to bring agility into machine learning model development and deployment, consider ML PaaS. It combines the proven technique of CI/CD with ML model management.

The development of the Indian software industry is an archetype of how economic liberalization combined with an entrepreneurial spirit can build an industry that today contributes as much as 8% to the GDP of a fast-growing country like India. On the back of thousands of IT services companies that were built over the last three decades, the industry has generated US$177 billion in revenue and more than US$135 billion in exports in FY 2018–2019 alone. The IT industry has also created over four million direct jobs and 12 million indirect jobs in India. A testament to this growth is the fact that the largest Indian IT services company is currently valued at over US$100 billion and generates over US$20 billion in revenue. Over the years, the Indian software industry has matured from providing cost-effective back office support to driving the digital transformation agenda ahead in global companies. Increasingly, leaders of more than a thousand global enterprises across the U.S., Europe, and other locations have realized India's potential and have set up their own IT or R&D centers to take advantage of the vibrant Indian software ecosystem. The current wave of Indian software entrepreneurs is focusing on building platforms and products for Indian and global markets. This has led to the creation of more than 7,000 tech startups in India.

The public sector has a crucial role to play in India's growth story. It is through an effective and efficient public service delivery model that India can achieve inclusive and sustainable socio-economic development. In order to achieve this, the government has begun harnessing artificial intelligence (AI) in the delivery of public services such as education, health, social security and transport, among others. AI is set to offer a competitive advantage over existing models of delivery of public services. Traditionally, the delivery models were simple, standalone departmental projects.

Amazon SageMaker, Microsoft Azure ML Services, Google Cloud ML Engine, IBM Watson Knowledge Studio are examples of ML PaaS in the cloud. If your business wants to bring agility into machine learning model development and deployment, consider ML PaaS. It combines the proven technique of CI/CD with ML model management.