C3 AI "…could become the de facto AI platform standard for the world's most complex industries" "Ahead of its time, C3 AI's strategy is to make AI application-centric by building a growing library of industry solutions, forging deep industry partnerships, running in every cloud, and facilitating extreme reuse through common data models," the report states. "We are pleased to be recognized as a leader in AI and ML platforms," said Thomas Siebel, C3 AI CEO. "I'm delighted to see C3 AI's significant investments in enterprise AI software be acknowledged. I believe that Forrester Research has made an important contribution, having published the first professional comprehensive analysis of enterprise AI and Machine Learning platforms," Siebel continued, "changing the dialogue from a focus on disjointed tools to the importance of cohesive enterprise AI platforms. This is certain to accelerate the market adoption of enterprise AI and simplify often protracted decision processes."

C3 AI, the Enterprise AI application software company, announced that Forrester Research has named it a Leader in AI and Machine Learning Platforms in its July 2022 report, The Forrester Wave: AI/ML Platforms, Q3 2022. "We are pleased to be recognized as a leader in AI and ML platforms" "Ahead of its time, C3 AI's strategy is to make AI application-centric by building a growing library of industry solutions, forging deep industry partnerships, running in every cloud, and facilitating extreme reuse through common data models," the report states. "We are pleased to be recognized as a leader in AI and ML platforms," said Thomas Siebel, C3 AI CEO. "I'm delighted to see C3 AI's significant investments in enterprise AI software be acknowledged. I believe that Forrester Research has made an important contribution, having published the first professional comprehensive analysis of enterprise AI and Machine Learning platforms," Siebel continued, "changing the dialogue from a focus on disjointed tools to the importance of cohesive enterprise AI platforms. This is certain to accelerate the market adoption of enterprise AI and simplify often protracted decision processes."

As companies begin to implement intelligent technologies such as artificial intelligence and machine learning, the business justification is critical for proper technological investment. In this Total Economic Impact Report, Forrester Research looks at the benefits, costs, flexibility and associated risks to determine the economic impact of machine learning. Forrester Research interviewed SAP customers using machine learning in various solutions, including SAP Concur, SAP S/4HANA, SAP HANA, SAP Data Intelligence (SAP Data Hub and SAP Leonardo Machine Learning Foundation), and SAP Cash Application. In this webinar Forrester Research will share their findings and discuss how you can begin to evaluate if you are ready to invest in machine learning.

As the curtain rise for 2019, do expect to see major changes in how organizations use Artificial Intelligence (AI) in the new year. AI has shown immense potential to make our lives much easier, a fact which does not stop in our homes, as businesses constantly come up with new ways to use AI to engage with customers, make processes easier and pull revenues to new highs. The effectiveness and popularity of AI-powered chatbots in recent years has catapulted an increased interest in how artificial intelligence is deployed to improve the results of ad campaigns. Forrester Research says that 2019 will see the rise of new digital workers with an increased competition for data professionals with AI skills. What is next in business for AI and how can it further boost the success of businesses in the new year, here is what to expect from Artificial Intelligence in 2019.

Atop those demands sits the ever-present threat of technology disruption, the forces of innovation that will disrupt their business in the coming years or possibly render it obsolete farther down the line. Emerging technologies fill the hearts and minds of technology's talented innovators with inspiration, hope and daring. They turn sci-fi dreams into reality and challenged accepted technology and computing paradigms. Before enterprise dreams become reality, businesses must to invest in the infrastructure and talent that will lay groundwork for future investments. Artificial intelligence-based and enabled technologies will heavily play into the next wave of enterprise computing capabilities, but innovators have to navigate and manage accountability, market support and hype. CIOs will push for emerging technologies and a customer-focused operating model, but they will also be held accountable for innovation that delivers.

In news that might help you make some sense of your fragmented, frustrating device set up, Amazon announced today that its Echo devices will support Apple Music starting December 17. It's a small breakthrough in the streaming wars, one that should help bring some sense to your streaming strategy. And you've got Apple's increasing need to branch out beyond hardware to thank. When the Apple Music Alexa skill goes into effect next month, all you'll need to do to tap into Beats 1 is enable it and link your account. The simplicity of switching it on belies the tangled threads that will have gotten it there in the first place.

This piece was coauthored with Kent Huffman, Chief Marketing Officer and founder of DigiMark Partners. In 2017, B2B marketers will continue to deal with tangible growth and marketing ROI pressures. Below are 13 primary B2B marketing trends that deserve your time and attention and will help you address the challenges, opportunities, and complexities you'll undoubtedly be presented with this year. Probably the most impactful B2B marketing trend in 2017 will be a tighter focus on improving the customer experience while driving growth. Strive to use a balanced approach to building customer loyalty. Instead of focusing solely on "customer-centric" methods based on your customers' lifetime value, offset it with "customer-focused" techniques that enable you to provide relevant experiences across all touch points and concentrate on what your customers value most.

Forrester Research just published The Top 10 Technology Trends To Watch: 2018 To 2020. Ten trends, which Forrester breaks into three phases of dawning, awareness, and acceptance, are setting the pace of technology-driven business change. In the dawning phase, a few innovators experiment with new technology-enabled business models and exploit emerging technologies. In the awareness phase, change agents leverage the accelerating returns of evolving technology to steal customers, improve the bottom line, and inflict massive impacts on industries. In the acceptance phase, surviving enterprises finally make the tough changes necessary to fight disruptors.

Forrester Research has come out with a report highlighting the role in which automation, artificial intelligence and robotics can impact the business, and how CIOs can help their organization meet strategic competencies. These strategic competencies entail using technology like automation to solve business problems, according to J.P. Gownder, vice president and principal analyst for Forrester Research. "CIOs and other digital leaders need to think about automation, AI and robotics in terms of the business model of the company and applying those technologies to a business-model problem, which is a little bit different than the optimization problems that they've been [addressing] in the past," he said. Implementing automation will require CIOs to play the role of an evangelist and convince workers on the benefits of using these emerging technologies, Gownder noted. Meanwhile, automation can impact the cost savings in a business, according to the Forrester report.

Forrester Research just published The Top 10 Technology Trends To Watch: 2018 To 2020. Ten trends, which Forrester breaks into three phases of dawning, awareness, and acceptance, are setting the pace of technology-driven business change. In the dawning phase, a few innovators experiment with new technology-enabled business models and exploit emerging technologies. In the awareness phase, change agents leverage the accelerating returns of evolving technology to steal customers, improve the bottom line, and inflict massive impacts on industries. In the acceptance phase, surviving enterprises finally make the tough changes necessary to fight disruptors.